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Bowling Green State University

1.
Yousef, Mohammed A.
Two-Stage SCAD Lasso for Linear *Mixed* *Model*
* Selection*.

Degree: PhD, Statistics, 2019, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

► Linear regression *model* is the classical approach to explain the relationship between the response variable (dependent) and predictors (independent). However, when the number of predictors…
(more)

Subjects/Keywords: Statistics; Mixed model selection; SCAD Lasso; Linear mixed model; Penalized model selection; two-stage model selection

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Yousef, M. A. (2019). Two-Stage SCAD Lasso for Linear Mixed Model Selection. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

Chicago Manual of Style (16^{th} Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

MLA Handbook (7^{th} Edition):

Yousef, Mohammed A. “Two-Stage SCAD Lasso for Linear Mixed Model Selection.” 2019. Web. 24 Aug 2019.

Vancouver:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Internet] [Doctoral dissertation]. Bowling Green State University; 2019. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.

Council of Science Editors:

Yousef MA. Two-Stage SCAD Lasso for Linear Mixed Model Selection. [Doctoral Dissertation]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879

Temple University

2.
Stone, Elizabeth Anne.
Multilevel *Model* *Selection*: A Regularization Approach Incorporating Heredity Constraints.

Degree: PhD, 2013, Temple University

URL: http://digital.library.temple.edu/u?/p245801coll10,234414

►

Statistics

This dissertation focuses on estimation and *selection* methods for a simple linear *model* with two levels of variation. This *model* provides a foundation for…
(more)

Subjects/Keywords: Statistics;

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Stone, E. A. (2013). Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,234414

Chicago Manual of Style (16^{th} Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Doctoral Dissertation, Temple University. Accessed August 24, 2019. http://digital.library.temple.edu/u?/p245801coll10,234414.

MLA Handbook (7^{th} Edition):

Stone, Elizabeth Anne. “Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints.” 2013. Web. 24 Aug 2019.

Vancouver:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2019 Aug 24]. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414.

Council of Science Editors:

Stone EA. Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,234414

University of Minnesota

3.
Ryoo, Ji Hoon.
*Model**selection* with the linear *mixed* effects *model* for longitudinal data.

Degree: Educational Psychology, 2010, University of Minnesota

URL: http://purl.umn.edu/94155

► *Model* building or *model* *selection* with linear *mixed* models (LMM) is complicated by the presence of both fixed effects and random effects. The fixed effects…
(more)

Subjects/Keywords: Linear Mixed Effects Model; Longitudinal Data; Model Selection; Educational Psychology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ryoo, J. H. (2010). Model selection with the linear mixed effects model for longitudinal data. (Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/94155

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Thesis, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/94155.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ryoo, Ji Hoon. “Model selection with the linear mixed effects model for longitudinal data.” 2010. Web. 24 Aug 2019.

Vancouver:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Internet] [Thesis]. University of Minnesota; 2010. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/94155.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ryoo JH. Model selection with the linear mixed effects model for longitudinal data. [Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/94155

Not specified: Masters Thesis or Doctoral Dissertation

Bowling Green State University

4.
Pan, Juming.
Adaptive LASSO For *Mixed* *Model* *Selection* via Profile
Log-Likelihood.

Degree: PhD, Statistics, 2016, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921

► Linear *mixed* models describe the relationship between a response variable and some predictors for data that are grouped according to one or more clustering factors.…
(more)

Subjects/Keywords: Statistics; model selection; linear mixed models; oracle properties

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Pan, J. (2016). Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921

Chicago Manual of Style (16^{th} Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

MLA Handbook (7^{th} Edition):

Pan, Juming. “Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood.” 2016. Web. 24 Aug 2019.

Vancouver:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Internet] [Doctoral dissertation]. Bowling Green State University; 2016. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

Council of Science Editors:

Pan J. Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood. [Doctoral Dissertation]. Bowling Green State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921

University of Texas – Austin

5.
Feng, Shujuan.
* Mixed*-effect modeling of codon usage.

Degree: Statistics, 2010, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2010-12-2234

► Logistic *mixed* effects models are used to determine whether optimal codons associate with two specific properties of the expressed protein: solvent accessibility, aggregation propensity, or…
(more)

Subjects/Keywords: Logistic mixed effects; Model selection procedures; Optimal codon usage

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Feng, S. (2010). Mixed-effect modeling of codon usage. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2234

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Thesis, University of Texas – Austin. Accessed August 24, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Feng, Shujuan. “Mixed-effect modeling of codon usage.” 2010. Web. 24 Aug 2019.

Vancouver:

Feng S. Mixed-effect modeling of codon usage. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Feng S. Mixed-effect modeling of codon usage. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2234

Not specified: Masters Thesis or Doctoral Dissertation

6.
Chen, Yuqi.
Joint Modeling of *Mixed* Outcomes in Clinical Research.

Degree: 2016, University of California – eScholarship, University of California

URL: http://www.escholarship.org/uc/item/7cg515tn

► *Mixed* types of multivariate outcomes are common in clinical investigations. Survival time is one of the primary goals in practice. In addition, hospitalization attracts increasing…
(more)

Subjects/Keywords: Statistics; Hospitalization; Joint modeling; Longitudinal; Mixed effects model; Readmission; Variable selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chen, Y. (2016). Joint Modeling of Mixed Outcomes in Clinical Research. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/7cg515tn

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Chen, Yuqi. “Joint Modeling of Mixed Outcomes in Clinical Research.” 2016. Thesis, University of California – eScholarship, University of California. Accessed August 24, 2019. http://www.escholarship.org/uc/item/7cg515tn.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Chen, Yuqi. “Joint Modeling of Mixed Outcomes in Clinical Research.” 2016. Web. 24 Aug 2019.

Vancouver:

Chen Y. Joint Modeling of Mixed Outcomes in Clinical Research. [Internet] [Thesis]. University of California – eScholarship, University of California; 2016. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/7cg515tn.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. Joint Modeling of Mixed Outcomes in Clinical Research. [Thesis]. University of California – eScholarship, University of California; 2016. Available from: http://www.escholarship.org/uc/item/7cg515tn

Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

7. Kon, Daniel Dean. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.

Degree: 2019, University of Adelaide

URL: http://hdl.handle.net/2440/120609

► Disease diagnosis is often performed using a blood test for protein biomarkers which exhibit differential expression in diseased subjects as compared to healthy subjects. Discovery…
(more)

Subjects/Keywords: Missing data; mixed effects models; selection model; joint model; proteomics; MALDI; mass spectrometry

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kon, D. D. (2019). Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/120609

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kon, Daniel Dean. “Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.” 2019. Thesis, University of Adelaide. Accessed August 24, 2019. http://hdl.handle.net/2440/120609.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kon, Daniel Dean. “Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer.” 2019. Web. 24 Aug 2019.

Vancouver:

Kon DD. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. [Internet] [Thesis]. University of Adelaide; 2019. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2440/120609.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kon DD. Statistical Models for Missing Data in Proteomic Studies of Gastric Cancer. [Thesis]. University of Adelaide; 2019. Available from: http://hdl.handle.net/2440/120609

Not specified: Masters Thesis or Doctoral Dissertation

Mississippi State University

8.
Paolini, Kelsey Elizabeth.
Spatiotemporal dynamics of multi-scale habitat *selection* in an invasive generalist.

Degree: MS, Wildlife, Fisheries & Aquaculture, 2018, Mississippi State University

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;

► Spatiotemporal dynamics of resource availability can produce markedly different patterns of landscape utilization which necessitates studying habitat *selection* across biologically relevant extents. Feral pigs (<I>Sus…
(more)

Subjects/Keywords: third order selection; second order selection; mixed-effect model; agriculture; spatiotemporal dyanmics; Sus scrofa; habitat selection

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Paolini, K. E. (2018). Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;

Chicago Manual of Style (16^{th} Edition):

Paolini, Kelsey Elizabeth. “Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist.” 2018. Masters Thesis, Mississippi State University. Accessed August 24, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;.

MLA Handbook (7^{th} Edition):

Paolini, Kelsey Elizabeth. “Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist.” 2018. Web. 24 Aug 2019.

Vancouver:

Paolini KE. Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. [Internet] [Masters thesis]. Mississippi State University; 2018. [cited 2019 Aug 24]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;.

Council of Science Editors:

Paolini KE. Spatiotemporal dynamics of multi-scale habitat selection in an invasive generalist. [Masters Thesis]. Mississippi State University; 2018. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03092018-141353/ ;

University of California – Irvine

9.
Christensen, Fletcher George William.
New Approaches to *Model* *Selection* in Bayesian *Mixed* Modeling.

Degree: Statistics, 2017, University of California – Irvine

URL: http://www.escholarship.org/uc/item/40f5322c

► Because the marginal densities corresponding to data modeled with generalized linear *mixed* models (GLMMs) usually lack closed-form expressions, *model* *selection* via existing tools like the…
(more)

Subjects/Keywords: Statistics; Biostatistics; Environmental health; DIC; fertility; marginalization; missing data; mixed modeling; model selection

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Christensen, F. G. W. (2017). New Approaches to Model Selection in Bayesian Mixed Modeling. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/40f5322c

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Christensen, Fletcher George William. “New Approaches to Model Selection in Bayesian Mixed Modeling.” 2017. Thesis, University of California – Irvine. Accessed August 24, 2019. http://www.escholarship.org/uc/item/40f5322c.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Christensen, Fletcher George William. “New Approaches to Model Selection in Bayesian Mixed Modeling.” 2017. Web. 24 Aug 2019.

Vancouver:

Christensen FGW. New Approaches to Model Selection in Bayesian Mixed Modeling. [Internet] [Thesis]. University of California – Irvine; 2017. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/40f5322c.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Christensen FGW. New Approaches to Model Selection in Bayesian Mixed Modeling. [Thesis]. University of California – Irvine; 2017. Available from: http://www.escholarship.org/uc/item/40f5322c

Not specified: Masters Thesis or Doctoral Dissertation

University of Adelaide

10.
De Faveri, Joanne.
Spatial and temporal modelling for perennial crop variety *selection* trials.

Degree: 2013, University of Adelaide

URL: http://hdl.handle.net/2440/83114

► This thesis involves the investigation and development of methods for analysing data from variety *selection* trials in perennial crops. This involves identifying best varieties from…
(more)

Subjects/Keywords: spatial and temporal modelling; mixed model varietal selection; perennial crops; multi-harvest

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

De Faveri, . J. (2013). Spatial and temporal modelling for perennial crop variety selection trials. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/83114

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

De Faveri, Joanne. “Spatial and temporal modelling for perennial crop variety selection trials.” 2013. Thesis, University of Adelaide. Accessed August 24, 2019. http://hdl.handle.net/2440/83114.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

De Faveri, Joanne. “Spatial and temporal modelling for perennial crop variety selection trials.” 2013. Web. 24 Aug 2019.

Vancouver:

De Faveri J. Spatial and temporal modelling for perennial crop variety selection trials. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2440/83114.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De Faveri J. Spatial and temporal modelling for perennial crop variety selection trials. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/83114

Not specified: Masters Thesis or Doctoral Dissertation

Rice University

11.
Baker, Yulia.
Methods and Applications for *Mixed* Graphical Models.

Degree: PhD, Engineering, 2017, Rice University

URL: http://hdl.handle.net/1911/105527

► ``Multi-view Data'' is a term used to describe heterogeneous data measured on the same set of observations but collected from different sources and of potentially…
(more)

Subjects/Keywords: Multi-view Data; mixed graphical models; Markov Random Fields; model selection; gene regulatory network

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Baker, Y. (2017). Methods and Applications for Mixed Graphical Models. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/105527

Chicago Manual of Style (16^{th} Edition):

Baker, Yulia. “Methods and Applications for Mixed Graphical Models.” 2017. Doctoral Dissertation, Rice University. Accessed August 24, 2019. http://hdl.handle.net/1911/105527.

MLA Handbook (7^{th} Edition):

Baker, Yulia. “Methods and Applications for Mixed Graphical Models.” 2017. Web. 24 Aug 2019.

Vancouver:

Baker Y. Methods and Applications for Mixed Graphical Models. [Internet] [Doctoral dissertation]. Rice University; 2017. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1911/105527.

Council of Science Editors:

Baker Y. Methods and Applications for Mixed Graphical Models. [Doctoral Dissertation]. Rice University; 2017. Available from: http://hdl.handle.net/1911/105527

Universidade Federal de Viçosa

12.
Fábio Moreira Sobreira.
Best linear unbiased prediction (BLUP) multi-trait in recurrent *selection* of annual plants.

Degree: 2009, Universidade Federal de Viçosa

URL: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166

►

A metodologia BLUP, que é amplamente utilizada na avaliação genética animal e florestal também pode ser aplicada no melhoramento de culturas anuais. O objetivo deste… (more)

Subjects/Keywords: Metodologia de modelos mistos; Acurácia; Eficiência de seleção; Seleção recorrente; Correlações; GENETICA QUANTITATIVA; Mixed model methodology; Accuracy; Recurrent selection; Recurrent selection; Correlations; Selection efficiency

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Sobreira, F. M. (2009). Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Sobreira, Fábio Moreira. “Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants.” 2009. Thesis, Universidade Federal de Viçosa. Accessed August 24, 2019. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Sobreira, Fábio Moreira. “Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants.” 2009. Web. 24 Aug 2019.

Vancouver:

Sobreira FM. Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. [Internet] [Thesis]. Universidade Federal de Viçosa; 2009. [cited 2019 Aug 24]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sobreira FM. Best linear unbiased prediction (BLUP) multi-trait in recurrent selection of annual plants. [Thesis]. Universidade Federal de Viçosa; 2009. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=2166

Not specified: Masters Thesis or Doctoral Dissertation

Colorado State University

13. Wilson, Benjamin R. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.

Degree: MS(M.S.), Ecology, 2007, Colorado State University

URL: http://hdl.handle.net/10217/82669

► I evaluated the efficacy of using woodland fire to alter vegetation composition in a manner that augments desert bighorn sheep (Ovis canadensis nelsoni) habitat in…
(more)

Subjects/Keywords: bighorn sheep; Bromus tectorum; mixed model; resource selection; wildfire

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wilson, B. R. (2007). Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/82669

Chicago Manual of Style (16^{th} Edition):

Wilson, Benjamin R. “Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.” 2007. Masters Thesis, Colorado State University. Accessed August 24, 2019. http://hdl.handle.net/10217/82669.

MLA Handbook (7^{th} Edition):

Wilson, Benjamin R. “Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition.” 2007. Web. 24 Aug 2019.

Vancouver:

Wilson BR. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10217/82669.

Council of Science Editors:

Wilson BR. Evalutating the effects of wildfire in piñon-juniper woodlands on bighorn sheep habitat and vegetation composition. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/82669

University of Michigan

14. Xia, Rong. Statistical Issues in the Analysis of Correlated Data.

Degree: PhD, Biostatistics, 2015, University of Michigan

URL: http://hdl.handle.net/2027.42/116687

► We first extend the original classification and regression trees (CART) paradigm (Breiman et al. 1984) to clustered binary outcomes, where individuals within a cluster are…
(more)

Subjects/Keywords: correlated data; tree-based methods; residuals; linear mixed effects models; random effects; covariance model selection; Public Health; Health Sciences

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xia, R. (2015). Statistical Issues in the Analysis of Correlated Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/116687

Chicago Manual of Style (16^{th} Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Doctoral Dissertation, University of Michigan. Accessed August 24, 2019. http://hdl.handle.net/2027.42/116687.

MLA Handbook (7^{th} Edition):

Xia, Rong. “Statistical Issues in the Analysis of Correlated Data.” 2015. Web. 24 Aug 2019.

Vancouver:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2027.42/116687.

Council of Science Editors:

Xia R. Statistical Issues in the Analysis of Correlated Data. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/116687

University of Saskatchewan

15.
Wang, Xiaoying.
Comparison of Statistical Testing and Predictive Analysis Methods for Feature *Selection* in Zero-inflated Microbiome Data.

Degree: 2019, University of Saskatchewan

URL: http://hdl.handle.net/10388/11952

► Background: Recent advances in next-generation sequencing (NGS) technology enable researchers to collect a large volume of microbiome data. Microbiome data consist of operational taxonomic unit…
(more)

Subjects/Keywords: Generalized Linear Mixed Model; Least Absolute Shrinkage and Selection Operator; Likelihood Ratio Test; False Discovery Rate; Leave-One-Out Cross-Validation

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Wang, X. (2019). Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11952

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Xiaoying. “Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data.” 2019. Thesis, University of Saskatchewan. Accessed August 24, 2019. http://hdl.handle.net/10388/11952.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Xiaoying. “Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data.” 2019. Web. 24 Aug 2019.

Vancouver:

Wang X. Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10388/11952.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/11952

Not specified: Masters Thesis or Doctoral Dissertation

The Ohio State University

16. Schneider, Rhiannon N. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.

Degree: MS, Horticulture and Crop Science, 2015, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967

► Phytophthora root and stem rot of soybean (<i>Glycine max</i>) is caused by the oomycete pathogen <i>Phytophthora sojae</i>. This disease can be controlled by genetic resistance,…
(more)

Subjects/Keywords: Horticulture; Agronomy; Plant Pathology; Plant Sciences; partial resistance to Phytophthora sojae, genome-wide association study, genomic selection, soybean plant introductions, genetic gain, compressed mixed linear model, multi-trait selection indices

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Schneider, R. N. (2015). Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967

Chicago Manual of Style (16^{th} Edition):

Schneider, Rhiannon N. “Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.” 2015. Masters Thesis, The Ohio State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967.

MLA Handbook (7^{th} Edition):

Schneider, Rhiannon N. “Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea.” 2015. Web. 24 Aug 2019.

Vancouver:

Schneider RN. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967.

Council of Science Editors:

Schneider RN. Genome-Wide Analyses for Partial Resistance to <i>Phytophthora sojae</i> Kaufmann and Gerdemann in Soybean (<i>Glycine max</i> L. Merr.) Populations from North America and the Republic of Korea. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429741967

Brigham Young University

17.
Wang, Jun.
Selecting the Best Linear *Mixed* *Model* Using Predictive Approaches.

Degree: MS, 2007, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd

► The linear *mixed* *model* is widely implemented in the analysis of longitudinal data. Inference techniques and information criteria are available and well-studied for goodness-of-fit within…
(more)

Subjects/Keywords: mixed model; model selection; predictive approaches; AIC; BIC; F-test; Statistics and Probability

Record Details Similar Records

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APA (6^{th} Edition):

Wang, J. (2007). Selecting the Best Linear Mixed Model Using Predictive Approaches. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd

Chicago Manual of Style (16^{th} Edition):

Wang, Jun. “Selecting the Best Linear Mixed Model Using Predictive Approaches.” 2007. Masters Thesis, Brigham Young University. Accessed August 24, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd.

MLA Handbook (7^{th} Edition):

Wang, Jun. “Selecting the Best Linear Mixed Model Using Predictive Approaches.” 2007. Web. 24 Aug 2019.

Vancouver:

Wang J. Selecting the Best Linear Mixed Model Using Predictive Approaches. [Internet] [Masters thesis]. Brigham Young University; 2007. [cited 2019 Aug 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd.

Council of Science Editors:

Wang J. Selecting the Best Linear Mixed Model Using Predictive Approaches. [Masters Thesis]. Brigham Young University; 2007. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1840&context=etd

18.
Wenren, Cheng.
*Mixed**Model* *Selection* Based on the Conceptual Predictive
Statistic.

Degree: PhD, Mathematics/Mathematical Statistics, 2014, Bowling Green State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738

► *Model* *selection* plays an important role in statistical literature. The objective of *model* *selection* is to choose the most appropriate *model* from a potential large…
(more)

Subjects/Keywords: Statistics; Model Selection; Discrepancy; Conceptual Predictive Statistic; Linear Mixed Models

…The research on *model* *selection* for linear *mixed* models has grown rapidly in recent years… …previous research which relates to *model*
*selection* in linear *mixed* models. The first part… …available *model* *selection* methods
which are applied to linear *mixed* models. Most of them are based… …Mallow’s Cp , which is
extended to the linear *mixed* *model* *selection* in this dissertation.
1.2.1… …Wand and Carroll (2003).
1.2.2
*Model* *Selection* in Linear *Mixed* Models
*Model*…

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APA (6^{th} Edition):

Wenren, C. (2014). Mixed Model Selection Based on the Conceptual Predictive Statistic. (Doctoral Dissertation). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738

Chicago Manual of Style (16^{th} Edition):

Wenren, Cheng. “Mixed Model Selection Based on the Conceptual Predictive Statistic.” 2014. Doctoral Dissertation, Bowling Green State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738.

MLA Handbook (7^{th} Edition):

Wenren, Cheng. “Mixed Model Selection Based on the Conceptual Predictive Statistic.” 2014. Web. 24 Aug 2019.

Vancouver:

Wenren C. Mixed Model Selection Based on the Conceptual Predictive Statistic. [Internet] [Doctoral dissertation]. Bowling Green State University; 2014. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738.

Council of Science Editors:

Wenren C. Mixed Model Selection Based on the Conceptual Predictive Statistic. [Doctoral Dissertation]. Bowling Green State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1403735738

19.
Ollier, Edouard.
Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical *Model* *Selection* by penalized likelihood method for the study of complex data.

Degree: Docteur es, Mathématiques, 2017, Lyon

URL: http://www.theses.fr/2017LYSEN097

►

Cette thèse est principalement consacrée au développement de méthodes de sélection de modèles par maximum de vraisemblance pénalisée dans le cadre de données complexes. Un… (more)

Subjects/Keywords: Sélection de modèle; Vraisemblance pénalisée; Algorithme SAEM; Algorithmes gradient proximaux; Modèles non linéaires à effets mixtes; Model selection; Penalized likelihood; SAEM algorithm; Proximal gradient algorithm; Non linear mixed effects models

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ollier, E. (2017). Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSEN097

Chicago Manual of Style (16^{th} Edition):

Ollier, Edouard. “Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data.” 2017. Doctoral Dissertation, Lyon. Accessed August 24, 2019. http://www.theses.fr/2017LYSEN097.

MLA Handbook (7^{th} Edition):

Ollier, Edouard. “Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data.” 2017. Web. 24 Aug 2019.

Vancouver:

Ollier E. Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2017LYSEN097.

Council of Science Editors:

Ollier E. Sélection de modèles statistiques par méthodes de vraisemblance pénalisée pour l'étude de données complexes : Statistical Model Selection by penalized likelihood method for the study of complex data. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSEN097

20.
Zhang, Bo.
Adaptive *model* *selection* in linear *mixed* models.

Degree: PhD, Statistics, 2009, University of Minnesota

URL: http://purl.umn.edu/56303

► Linear *mixed* models are commonly used models in the analysis of correlated data, in which the observed data are grouped according to one or more…
(more)

Subjects/Keywords: Data Perturbation; Linear Mixed Models; Model Selection; Statistics

…5 Adaptive *Model* *Selection* in Linear *Mixed* Models: Applications
55
6 Conclusion
60… …criterion is needed. This dissertation focuses on *model* *selection* in linear *mixed*
models. Shen and… …*model* *selection* is discussed in linear *mixed* models. The discussion starts
with introducing… …fitting. This dissertation is devoted to *model* *selection* for linear *mixed* models.
1.1.2
Linear… …variables when we fit a linear
*mixed* *model* to the data.
7
1.2
*Model* *Selection* in Linear *Mixed*…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zhang, B. (2009). Adaptive model selection in linear mixed models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/56303

Chicago Manual of Style (16^{th} Edition):

Zhang, Bo. “Adaptive model selection in linear mixed models.” 2009. Doctoral Dissertation, University of Minnesota. Accessed August 24, 2019. http://purl.umn.edu/56303.

MLA Handbook (7^{th} Edition):

Zhang, Bo. “Adaptive model selection in linear mixed models.” 2009. Web. 24 Aug 2019.

Vancouver:

Zhang B. Adaptive model selection in linear mixed models. [Internet] [Doctoral dissertation]. University of Minnesota; 2009. [cited 2019 Aug 24]. Available from: http://purl.umn.edu/56303.

Council of Science Editors:

Zhang B. Adaptive model selection in linear mixed models. [Doctoral Dissertation]. University of Minnesota; 2009. Available from: http://purl.umn.edu/56303

Virginia Tech

21. Atwood, Chad Judson. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.

Degree: MS, Forestry, 2008, Virginia Tech

URL: http://hdl.handle.net/10919/32997

► Harvesting practices in the southern Appalachians have moved away from clearcutting in favor of variable retention harvesting systems. A study was initiated in 1995-8 to…
(more)

Subjects/Keywords: clearcut; leave-tree; shelterwood; group selection; stump sprouts; oak; mixed model; silviculture; Appalachian hardwoods

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Atwood, C. J. (2008). Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32997

Chicago Manual of Style (16^{th} Edition):

Atwood, Chad Judson. “Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.” 2008. Masters Thesis, Virginia Tech. Accessed August 24, 2019. http://hdl.handle.net/10919/32997.

MLA Handbook (7^{th} Edition):

Atwood, Chad Judson. “Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians.” 2008. Web. 24 Aug 2019.

Vancouver:

Atwood CJ. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. [Internet] [Masters thesis]. Virginia Tech; 2008. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10919/32997.

Council of Science Editors:

Atwood CJ. Effects of Alternative Silvicultural Treatments on Regeneration in the Southern Appalachians. [Masters Thesis]. Virginia Tech; 2008. Available from: http://hdl.handle.net/10919/32997

Université Paris-Sud – Paris XI

22.
Delattre, Maud.
Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian *mixed*-effects models.

Degree: Docteur es, Mathématiques, 2012, Université Paris-Sud – Paris XI

URL: http://www.theses.fr/2012PA112113

►

La première partie de cette thèse est consacrée a l'estimation par maximum de vraisemblance dans les modèles mixtes a dynamique markovienne. Nous considérons plus précisément… (more)

Subjects/Keywords: Maximum de vraisemblance; Modèles à effets mixtes; Modèles de Markov cachés; Équations différentielles stochastiques; Algorithme SAEM; Sélection de modèles; Pharmacologie; Maximum likelihood; Mixed-effects models; Hidden Markov models; Stochastic differential equations; SAEM algorithm; Model selection; Pharmacology

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Delattre, M. (2012). Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2012PA112113

Chicago Manual of Style (16^{th} Edition):

Delattre, Maud. “Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models.” 2012. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed August 24, 2019. http://www.theses.fr/2012PA112113.

MLA Handbook (7^{th} Edition):

Delattre, Maud. “Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models.” 2012. Web. 24 Aug 2019.

Vancouver:

Delattre M. Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2012. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2012PA112113.

Council of Science Editors:

Delattre M. Inférence statistique dans les modèles mixtes à dynamique Markovienne : Statistical inference for Markovian mixed-effects models. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2012. Available from: http://www.theses.fr/2012PA112113

23. Ma, Shaochun. Economies of scale analysis and location studies for fuel ethanol refineries.

Degree: PhD, 5163, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/42439

► The development of commercial-scale cellulosic ethanol refineries is a challenging task, but it is a promising way to increase national energy independence and security. The…
(more)

Subjects/Keywords: Ethanol Refineries; Cost Model; Area Utilization Factor (AUF); Mixed-integer Programming; Economies of Scale; Site Selection

…production. In this study, a basic biomass-to-ethanol
process simulation *model* is defined and… …2002). Aspen Plus® has been employed to *model* and simulate the corn
stover ethanol… …commercial software package, SuperPro Designer®, has been used to *model* the
process and cost of… …verify the *model* and simulation results.
Most biomass conversion studies have considered… …importance of location *selection*. Making decisions is not straight forward because
several criteria…

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ma, S. (2013). Economies of scale analysis and location studies for fuel ethanol refineries. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/42439

Chicago Manual of Style (16^{th} Edition):

Ma, Shaochun. “Economies of scale analysis and location studies for fuel ethanol refineries.” 2013. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed August 24, 2019. http://hdl.handle.net/2142/42439.

MLA Handbook (7^{th} Edition):

Ma, Shaochun. “Economies of scale analysis and location studies for fuel ethanol refineries.” 2013. Web. 24 Aug 2019.

Vancouver:

Ma S. Economies of scale analysis and location studies for fuel ethanol refineries. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2142/42439.

Council of Science Editors:

Ma S. Economies of scale analysis and location studies for fuel ethanol refineries. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/42439

Lincoln University

24.
Narayan, Prakash.
Farm planning under risk : an application of the captial asset pricing *model* to New Zealand agriculture.

Degree: 1990, Lincoln University

URL: http://hdl.handle.net/10182/3185

► With the removal of many forms of government intervention from the agricultural sector, risk management has become an increasingly important issue for New Zealand farmers.…
(more)

Subjects/Keywords: Capital Asset Pricing Model (CAPM); portfolio selection; farm sector portfolio; diversification; systematic risk; compensation; beta coefficient; mixed cropping; New Zealand; risk management; farm investment

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APA (6^{th} Edition):

Narayan, P. (1990). Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/3185

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Narayan, Prakash. “Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture.” 1990. Thesis, Lincoln University. Accessed August 24, 2019. http://hdl.handle.net/10182/3185.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Narayan, Prakash. “Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture.” 1990. Web. 24 Aug 2019.

Vancouver:

Narayan P. Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. [Internet] [Thesis]. Lincoln University; 1990. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10182/3185.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Narayan P. Farm planning under risk : an application of the captial asset pricing model to New Zealand agriculture. [Thesis]. Lincoln University; 1990. Available from: http://hdl.handle.net/10182/3185

Not specified: Masters Thesis or Doctoral Dissertation

25. Cann, Benjamin. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.

Degree: Department of Economics, 2016, University of Victoria

URL: http://hdl.handle.net/1828/7587

► Potentially valuable information about the underlying data generating process of a dependent variable is often lost when an independent variable is transformed to fit into…
(more)

Subjects/Keywords: mixed data sampling; forecasting; model selection criteria; time-series; yen dollar exchange rate; econometrics; economics; MIDAS; foreign exchange rates

…APPENDIX A: *MODEL* *SELECTION* CRITERIA AND FORECASTING ERRORS
Akaike Information Criterion (… …may lead to efficiency gains compared to an unconstrained MIDAS *model* (p.
4).
A… …observation, it may make more sense to, instead,
change the *model* from a one quarter dependent… …*model* (p. 547). Their solution is to add AR
(𝑚)
dynamics of the… …*model* longer term trends without the extreme variation typical of high-frequency exchange…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Cann, B. (2016). Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7587

Chicago Manual of Style (16^{th} Edition):

Cann, Benjamin. “Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.” 2016. Masters Thesis, University of Victoria. Accessed August 24, 2019. http://hdl.handle.net/1828/7587.

MLA Handbook (7^{th} Edition):

Cann, Benjamin. “Choosing a data frequency to forecast the quarterly yen-dollar exchange rate.” 2016. Web. 24 Aug 2019.

Vancouver:

Cann B. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1828/7587.

Council of Science Editors:

Cann B. Choosing a data frequency to forecast the quarterly yen-dollar exchange rate. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7587

26. Baragatti, Meïli. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.

Degree: Docteur es, Mathématiques, 2011, Aix-Marseille 2

URL: http://www.theses.fr/2011AIX22100

► Cette thèse se décompose en deux parties. Dans un premier temps nous nous intéressons à la sélection bayésienne de variables dans un modèle probit mixte.L'objectif…
(more)

Subjects/Keywords: Sélection bayésienne de variables; Modèle probit mixte; A priori de Zellner; Paramètre ridge; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Méthodes sans vraisemblance; Bayesian variable selection; Probit mixed model; Zellner g-prior; Ridge parameter; Monte Carlo Markov Chains; Parallel Tempering; Equi-Energy Sampler; Approximate Bayesian Computation; Likelihood-Free methods

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Baragatti, M. (2011). Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. (Doctoral Dissertation). Aix-Marseille 2. Retrieved from http://www.theses.fr/2011AIX22100

Chicago Manual of Style (16^{th} Edition):

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Doctoral Dissertation, Aix-Marseille 2. Accessed August 24, 2019. http://www.theses.fr/2011AIX22100.

MLA Handbook (7^{th} Edition):

Baragatti, Meïli. “Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects.” 2011. Web. 24 Aug 2019.

Vancouver:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Internet] [Doctoral dissertation]. Aix-Marseille 2; 2011. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2011AIX22100.

Council of Science Editors:

Baragatti M. Sélection bayésienne de variables et méthodes de type Parallel Tempering avec et sans vraisemblance : Trust, social cohesion : conceptual issues, indicators and economic effects. [Doctoral Dissertation]. Aix-Marseille 2; 2011. Available from: http://www.theses.fr/2011AIX22100

27. Mabon, Gwennaëlle. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.

Degree: Docteur es, Mathématiques appliquées, 2016, Sorbonne Paris Cité

URL: http://www.theses.fr/2016USPCB020

►

Dans cette thèse, nous nous intéressons au problème d'estimation de densité dans le modèle de convolution. Ce cadre correspond aux modèles avec erreurs de mesures… (more)

Subjects/Keywords: Modèles de convolution; Modèles de durées; Modèles mixtes; Estimation non-paramétrique; Estimation adaptative; Estimation par projection; Sélection de modèles; Méthodes de Goldenshluger et Lepski; Agrégation; Vitesses optimales minimax; Convolution models; Duration models; Mixed models; Nonparametric estimation; Adaptive estimation; Projection estimators; Model selection; Goldenshluger and Lepski method; Aggregation; Minimax optimal rates; 519

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Mabon, G. (2016). Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. (Doctoral Dissertation). Sorbonne Paris Cité. Retrieved from http://www.theses.fr/2016USPCB020

Chicago Manual of Style (16^{th} Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Doctoral Dissertation, Sorbonne Paris Cité. Accessed August 24, 2019. http://www.theses.fr/2016USPCB020.

MLA Handbook (7^{th} Edition):

Mabon, Gwennaëlle. “Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models.” 2016. Web. 24 Aug 2019.

Vancouver:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; 2016. [cited 2019 Aug 24]. Available from: http://www.theses.fr/2016USPCB020.

Council of Science Editors:

Mabon G. Estimation non-paramétrique adaptative pour des modèles bruités : Nonparametric adaptive estimation in measurement error models. [Doctoral Dissertation]. Sorbonne Paris Cité; 2016. Available from: http://www.theses.fr/2016USPCB020

28. Paynter, Michelle. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.

Degree: School of Agriculture and Food Sciences, 2015, University of Queensland

URL: http://espace.library.uq.edu.au/view/UQ:362000

Subjects/Keywords: Fusarium wilt; Linear mixed model; Vegetative compatibility groups; Translation elongation factor 1α; Mitochondrial small-subunit; Pathogenicity; 060408 Genomics; 060704 Plant Pathology; 070602 Horticultural Crop Improvement (Selection and Breeding)

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Paynter, M. (2015). Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:362000

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Paynter, Michelle. “Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.” 2015. Thesis, University of Queensland. Accessed August 24, 2019. http://espace.library.uq.edu.au/view/UQ:362000.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Paynter, Michelle. “Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae.” 2015. Web. 24 Aug 2019.

Vancouver:

Paynter M. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. [Internet] [Thesis]. University of Queensland; 2015. [cited 2019 Aug 24]. Available from: http://espace.library.uq.edu.au/view/UQ:362000.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Paynter M. Breeding resistance in strawberry cultivars for Fusarium oxysporum f. sp. fragariae. [Thesis]. University of Queensland; 2015. Available from: http://espace.library.uq.edu.au/view/UQ:362000

Not specified: Masters Thesis or Doctoral Dissertation

29. Kong, Shengchun. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.

Degree: PhD, Biostatistics, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/108930

► Censored survival data arise commonly in many areas including epidemiology, engineering and sociology. In this dissertation, we explore several emerging statistical issues for censored survival…
(more)

Subjects/Keywords: Cox Regression, Finite Sample, Lasso, Oracle Inequality, Variable Selection; Accelerate Failure Time Model; Censored Covariate; Empirical Process; Generalized Linear Models; Pseudo-likelihood Estimation.; Mixed Effects Model; Cox Regression; Empirical Process; Pseudo-maximum Likelihood Estimation; Public Health; Statistics and Numeric Data; Health Sciences; Science

…parametric models for the
unobservable tail probability, thus may suffer from *model*… …based
approach for the regression parameters using an accelerated failure time *model* for
the… …assumption, however, is not reasonable for many longitudinal studies.
Therefore we directly *model*… …For censored survival data, the Cox regression
*model* is the most widely used method and is… …Cox *model* are extremely
difficult, mainly due to lacking independent and identically…

Record Details Similar Records

❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Kong, S. (2014). New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108930

Chicago Manual of Style (16^{th} Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Doctoral Dissertation, University of Michigan. Accessed August 24, 2019. http://hdl.handle.net/2027.42/108930.

MLA Handbook (7^{th} Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Web. 24 Aug 2019.

Vancouver:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2027.42/108930.

Council of Science Editors:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108930