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IUPUI

1.
Marchetti, Arika L.
Building *Prediction* Models for Dementia: The Need to Account for *Interval* Censoring and the Competing Risk of Death.

Degree: 2019, IUPUI

URL: http://hdl.handle.net/1805/20532

►

Indiana University-Purdue University Indianapolis (IUPUI)

Context. *Prediction* models for dementia are crucial for informing clinical decision making in older adults. Previous models have used genotype…
(more)

Subjects/Keywords: Prediction Models; Interval Censoring; Competing Risk

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

APA (6^{th} Edition):

Marchetti, A. L. (2019). Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/20532

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):

Marchetti, Arika L. “Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death.” 2019. Thesis, IUPUI. Accessed November 14, 2019. http://hdl.handle.net/1805/20532.

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Marchetti, Arika L. “Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death.” 2019. Web. 14 Nov 2019.

Vancouver:

Marchetti AL. Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. [Internet] [Thesis]. IUPUI; 2019. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1805/20532.

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

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marchetti AL. Building Prediction Models for Dementia: The Need to Account for Interval Censoring and the Competing Risk of Death. [Thesis]. IUPUI; 2019. Available from: http://hdl.handle.net/1805/20532

Not specified: Masters Thesis or Doctoral Dissertation

2. Taga, Marcel Frederico de Lima. Regressão linear com medidas censuradas.

Degree: Mestrado, Estatística, 2008, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;

►

Consideramos um modelo de regressão linear simples, em que tanto a variável resposta como a independente estão sujeitas a censura intervalar. Como motivação utilizamos um… (more)

Subjects/Keywords: censura intervalar; interval censoring; intervalo de previsão; linear regression; prediction interval; regressão linear

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

APA (6^{th} Edition):

Taga, M. F. d. L. (2008). Regressão linear com medidas censuradas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;

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

Taga, Marcel Frederico de Lima. “Regressão linear com medidas censuradas.” 2008. Masters Thesis, University of São Paulo. Accessed November 14, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;.

MLA Handbook (7^{th} Edition):

Taga, Marcel Frederico de Lima. “Regressão linear com medidas censuradas.” 2008. Web. 14 Nov 2019.

Vancouver:

Taga MFdL. Regressão linear com medidas censuradas. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2019 Nov 14]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;.

Council of Science Editors:

Taga MFdL. Regressão linear com medidas censuradas. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05122008-005901/ ;

University of Alberta

3. Zarnani, Ashkan. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.

Degree: PhD, Department of Electrical and Computer Engineering, 2014, University of Alberta

URL: https://era.library.ualberta.ca/files/6t053h668

► Weather forecasting is one of the most vital tasks in many applications ranging from severe weather hazard systems to energy production. Numerical weather *prediction* (NWP)…
(more)

Subjects/Keywords: Interval Forecast; Data clustering; Prediction Interval; Quantile Regression; Time series analysis; Numerical Weather Prediction; Statistical post-processing; Probabilistic forecast; Uncertainty Modeling

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

APA (6^{th} Edition):

Zarnani, A. (2014). Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6t053h668

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

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Doctoral Dissertation, University of Alberta. Accessed November 14, 2019. https://era.library.ualberta.ca/files/6t053h668.

MLA Handbook (7^{th} Edition):

Zarnani, Ashkan. “Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods.” 2014. Web. 14 Nov 2019.

Vancouver:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Internet] [Doctoral dissertation]. University of Alberta; 2014. [cited 2019 Nov 14]. Available from: https://era.library.ualberta.ca/files/6t053h668.

Council of Science Editors:

Zarnani A. Modeling Uncertainty of Numerical Weather Predictions Using Learning Methods. [Doctoral Dissertation]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/6t053h668

The Ohio State University

4. Schenk, Jason Robert. Meta-uncertainty and resilience with applications in intelligence analysis.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

► Uncertainty plays a major and inevitable role in human decision-making. Meta-uncertainty about the uncertainty can also be important but it is generally less studied. Such…
(more)

Subjects/Keywords: Latent Dirichlet Allocation; prediction interval; stress-strain; consequence-likelihood

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

APA (6^{th} Edition):

Schenk, J. R. (2008). Meta-uncertainty and resilience with applications in intelligence analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

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

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Doctoral Dissertation, The Ohio State University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

MLA Handbook (7^{th} Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Web. 14 Nov 2019.

Vancouver:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

Council of Science Editors:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

McMaster University

5.
Wei, Xingli.
Parameter Estimation and *Prediction* *Interval* Construction for Location-Scale Models with Nuclear Applications.

Degree: PhD, 2014, McMaster University

URL: http://hdl.handle.net/11375/15483

► This thesis presents simple efficient algorithms to estimate distribution parameters and to construct *prediction* intervals for location-scale families. Specifically, we study two scenarios: one is…
(more)

Subjects/Keywords: Parameter estimation; Prediction interval; Mixed method; Generalized bootstrap; Markov Chain Monte Carlo; Bayesian method

Record Details Similar Records

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

APA (6^{th} Edition):

Wei, X. (2014). Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/15483

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

Wei, Xingli. “Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications.” 2014. Doctoral Dissertation, McMaster University. Accessed November 14, 2019. http://hdl.handle.net/11375/15483.

MLA Handbook (7^{th} Edition):

Wei, Xingli. “Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications.” 2014. Web. 14 Nov 2019.

Vancouver:

Wei X. Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/11375/15483.

Council of Science Editors:

Wei X. Parameter Estimation and Prediction Interval Construction for Location-Scale Models with Nuclear Applications. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/15483

Iowa State University

6.
Hong, Yili.
Reliability *prediction* based on complicated data and dynamic data.

Degree: 2009, Iowa State University

URL: https://lib.dr.iastate.edu/etd/10646

► Lifetime data from the field can be complicated due to truncation, censoring, multiple failure modes, and the nonhomogeneity of the population. These complications lead to…
(more)

Subjects/Keywords: Calibration; Maximum likelihood; Prediction interval; Stratification; Transformer maintenance; Warranty returns; Statistics and Probability

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APA (6^{th} Edition):

Hong, Y. (2009). Reliability prediction based on complicated data and dynamic data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10646

Not specified: Masters Thesis or Doctoral Dissertation

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

Hong, Yili. “Reliability prediction based on complicated data and dynamic data.” 2009. Thesis, Iowa State University. Accessed November 14, 2019. https://lib.dr.iastate.edu/etd/10646.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hong, Yili. “Reliability prediction based on complicated data and dynamic data.” 2009. Web. 14 Nov 2019.

Vancouver:

Hong Y. Reliability prediction based on complicated data and dynamic data. [Internet] [Thesis]. Iowa State University; 2009. [cited 2019 Nov 14]. Available from: https://lib.dr.iastate.edu/etd/10646.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hong Y. Reliability prediction based on complicated data and dynamic data. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/10646

Not specified: Masters Thesis or Doctoral Dissertation

NSYSU

7.
Hsieh, Chi-Hsuan.
A Study of FM-Band Radio Wave Propagation *Prediction* Curves and the Broadcasting Service Criterion in Taiwan.

Degree: Master, Electrical Engineering, 2000, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207

► The field strength *prediction* chart is a set of statistical curves obtained through the analysis of huge amount of field strength measurement data of the…
(more)

Subjects/Keywords: Protection/Interference Ratio; Terrain Roughness; Confidence Interval; Prediction Curves

Record Details Similar Records

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

APA (6^{th} Edition):

Hsieh, C. (2000). A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207

Not specified: Masters Thesis or Doctoral Dissertation

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

Hsieh, Chi-Hsuan. “A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan.” 2000. Thesis, NSYSU. Accessed November 14, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Hsieh, Chi-Hsuan. “A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan.” 2000. Web. 14 Nov 2019.

Vancouver:

Hsieh C. A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. [Internet] [Thesis]. NSYSU; 2000. [cited 2019 Nov 14]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsieh C. A Study of FM-Band Radio Wave Propagation Prediction Curves and the Broadcasting Service Criterion in Taiwan. [Thesis]. NSYSU; 2000. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0615100-014207

Not specified: Masters Thesis or Doctoral Dissertation

Baylor University

8.
Beckham, Stephen Ryan.
A baseline admissions *prediction* model with textual analysis and confidence *interval* estimations.

Degree: Economics., 2014, Baylor University

URL: http://hdl.handle.net/2104/9141

► Essays submitted out individuals applying to Baylor University may contain hidden information that would assist the admissions department in their decision to accept the appicant.…
(more)

Subjects/Keywords: Admissions predictions with textual analysis.; Ability prediction with textual analysis.; Confidence interval estimation with bootstrapping.; College admissions.

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APA (6^{th} Edition):

Beckham, S. R. (2014). A baseline admissions prediction model with textual analysis and confidence interval estimations. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9141

Not specified: Masters Thesis or Doctoral Dissertation

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

Beckham, Stephen Ryan. “A baseline admissions prediction model with textual analysis and confidence interval estimations. ” 2014. Thesis, Baylor University. Accessed November 14, 2019. http://hdl.handle.net/2104/9141.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Beckham, Stephen Ryan. “A baseline admissions prediction model with textual analysis and confidence interval estimations. ” 2014. Web. 14 Nov 2019.

Vancouver:

Beckham SR. A baseline admissions prediction model with textual analysis and confidence interval estimations. [Internet] [Thesis]. Baylor University; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2104/9141.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Beckham SR. A baseline admissions prediction model with textual analysis and confidence interval estimations. [Thesis]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/9141

Not specified: Masters Thesis or Doctoral Dissertation

Arizona State University

9. Guan, Xin. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.

Degree: Biomedical Informatics, 2017, Arizona State University

URL: http://repository.asu.edu/items/45017

Subjects/Keywords: Biostatistics; feature selection; prediction interval; predictive modeling; random forest

Record Details Similar Records

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

APA (6^{th} Edition):

Guan, X. (2017). Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/45017

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

Guan, Xin. “Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.” 2017. Doctoral Dissertation, Arizona State University. Accessed November 14, 2019. http://repository.asu.edu/items/45017.

MLA Handbook (7^{th} Edition):

Guan, Xin. “Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest.” 2017. Web. 14 Nov 2019.

Vancouver:

Guan X. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2019 Nov 14]. Available from: http://repository.asu.edu/items/45017.

Council of Science Editors:

Guan X. Novel Methods of Biomarker Discovery and Predictive Modeling using Random Forest. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/45017

10. Helmersson, Madeleine. Annuity Divisors.

Degree: Mathematics and Mathematical Statistics, 2017, Umeå University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767

►

This paper studies the differences and similarities between the discrete annuity divisor of the income pension compared to the continuous annuity divisor of the… (more)

Subjects/Keywords: Annuity Divisor; Lee-Carter; Prediction interval; Pension; Life expectancy; Bootstrap; Makeham; Delningstal; Lee-Carter; Prediktionsintervall; Pension; Livslängder; Makeham; Probability Theory and Statistics; Sannolikhetsteori och statistik

Record Details Similar Records

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APA (6^{th} Edition):

Helmersson, M. (2017). Annuity Divisors. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767

Not specified: Masters Thesis or Doctoral Dissertation

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

Helmersson, Madeleine. “Annuity Divisors.” 2017. Thesis, Umeå University. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Helmersson, Madeleine. “Annuity Divisors.” 2017. Web. 14 Nov 2019.

Vancouver:

Helmersson M. Annuity Divisors. [Internet] [Thesis]. Umeå University; 2017. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Helmersson M. Annuity Divisors. [Thesis]. Umeå University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138767

Not specified: Masters Thesis or Doctoral Dissertation

Wright State University

11. Meador, Douglas P. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.

Degree: PhD, Engineering PhD, 2008, Wright State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534

► There is little argument that modern military systems are very complex, both in terms of the resources in time and money to develop them and…
(more)

Subjects/Keywords: Engineering; Human performance modeling; learning curve; performance prediction; human performance channels; modeling and simulation; skill acquisition; skill retention; skill reacquisition; training strategy; retention interval; military training; IMPRINT Pro

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

APA (6^{th} Edition):

Meador, D. P. (2008). Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534

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

Meador, Douglas P. “Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.” 2008. Doctoral Dissertation, Wright State University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534.

MLA Handbook (7^{th} Edition):

Meador, Douglas P. “Modeling Training Effects on Task Performance Using a Human Performance Taxonomy.” 2008. Web. 14 Nov 2019.

Vancouver:

Meador DP. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. [Internet] [Doctoral dissertation]. Wright State University; 2008. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534.

Council of Science Editors:

Meador DP. Modeling Training Effects on Task Performance Using a Human Performance Taxonomy. [Doctoral Dissertation]. Wright State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1229535534

12. Xu, Zhibing. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.

Degree: PhD, Statistics, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/51130

► Reliability analysis plays an important role in keeping manufacturers in a competitive position. It can be applied in many areas such as warranty predictions, maintenance…
(more)

Subjects/Keywords: Calibration; Covariate process; Degradation path; Failure reporting delay; Multi-level repairable systems; Trend-renewal process; Nonlinear mixed-effects model; Organic coatings; Prediction interval; Weibull distribution

Record Details Similar Records

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

APA (6^{th} Edition):

Xu, Z. (2014). Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51130

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

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Doctoral Dissertation, Virginia Tech. Accessed November 14, 2019. http://hdl.handle.net/10919/51130.

MLA Handbook (7^{th} Edition):

Xu, Zhibing. “Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates.” 2014. Web. 14 Nov 2019.

Vancouver:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10919/51130.

Council of Science Editors:

Xu Z. Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/51130

13. CHEN PIAO. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.

Degree: 2017, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/137186

Subjects/Keywords: Generalized pivotal quantity; Confidence interval; Tolerance limits; Prediction limits; Coverage probability; Gamma process

Record Details Similar Records

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APA (6^{th} Edition):

PIAO, C. (2017). GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/137186

Not specified: Masters Thesis or Doctoral Dissertation

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

PIAO, CHEN. “GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.” 2017. Thesis, National University of Singapore. Accessed November 14, 2019. http://scholarbank.nus.edu.sg/handle/10635/137186.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

PIAO, CHEN. “GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS.” 2017. Web. 14 Nov 2019.

Vancouver:

PIAO C. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. [Internet] [Thesis]. National University of Singapore; 2017. [cited 2019 Nov 14]. Available from: http://scholarbank.nus.edu.sg/handle/10635/137186.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

PIAO C. GENERALIZED INFERENCE FOR THE GAMMA DISTRIBUTION AND ITS APPLICATIONS. [Thesis]. National University of Singapore; 2017. Available from: http://scholarbank.nus.edu.sg/handle/10635/137186

Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

14. Korjani, Mohammad Mehdi. Intelligent knowledge acquisition systems: from descriptive to predictive models.

Degree: PhD, Electrical Engineering, 2015, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556

► Linguistic summarization is a data mining or knowledge discovery approach that describes a pattern in a database. Using techniques to generate linguistic summaries not only…
(more)

Subjects/Keywords: breakdown of democracy; causal condition; causal combination; data mining; footprint of uncertainty; fuzzy set qualitative comparative analysis; fsQCA; fuzzy sets; interval type‐2 fuzzy sets; interval‐valued fsQCA; level 2 fuzzy sets; linguistic summarization; nonlinear regression; prediction; regression; type‐1 fuzzy sets; type‐1 fsQCA

Record Details Similar Records

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

APA (6^{th} Edition):

Korjani, M. M. (2015). Intelligent knowledge acquisition systems: from descriptive to predictive models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556

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

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Doctoral Dissertation, University of Southern California. Accessed November 14, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

MLA Handbook (7^{th} Edition):

Korjani, Mohammad Mehdi. “Intelligent knowledge acquisition systems: from descriptive to predictive models.” 2015. Web. 14 Nov 2019.

Vancouver:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Nov 14]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556.

Council of Science Editors:

Korjani MM. Intelligent knowledge acquisition systems: from descriptive to predictive models. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/603949/rec/3556

Texas A&M University

15.
Jeong, Ran Hee.
The *prediction* of bus arrival time using Automatic Vehicle Location Systems data.

Degree: 2005, Texas A&M University

URL: http://hdl.handle.net/1969.1/1458

► Advanced Traveler Information System (ATIS) is one component of Intelligent Transportation Systems (ITS), and a major component of ATIS is travel time information. The provision…
(more)

Subjects/Keywords: bus arrival time; prediction model; Automatic Vehicle Location (AVL) Systems; GPS; Neural Network model; prediction interval

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

APA (6^{th} Edition):

Jeong, R. H. (2005). The prediction of bus arrival time using Automatic Vehicle Location Systems data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1458

Not specified: Masters Thesis or Doctoral Dissertation

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

Jeong, Ran Hee. “The prediction of bus arrival time using Automatic Vehicle Location Systems data.” 2005. Thesis, Texas A&M University. Accessed November 14, 2019. http://hdl.handle.net/1969.1/1458.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jeong, Ran Hee. “The prediction of bus arrival time using Automatic Vehicle Location Systems data.” 2005. Web. 14 Nov 2019.

Vancouver:

Jeong RH. The prediction of bus arrival time using Automatic Vehicle Location Systems data. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/1969.1/1458.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jeong RH. The prediction of bus arrival time using Automatic Vehicle Location Systems data. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/1458

Not specified: Masters Thesis or Doctoral Dissertation

16. Iacianci, Bryon C. Confidence Intervals on Cost Estimates When Using a Feature-based Approach.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2012, Ohio University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939

► This research explains the methodology for deriving the confidence *interval* on the cost estimate of a part, when a feature-based approach is used. The…
(more)

Subjects/Keywords: Engineering; Industrial Engineering; cost estimating relationship; artificial neural network; confidence interval; cost prediction; CER; ANN; composite confidence interval; feature based

…37
2.4.3
Confidence *Interval*… …51
Confidence *Interval*… …*Interval*… …65
Table 4: Paired T-test Results for Half Width of Confidence *Interval* by Number of… …66
Table 5: Paired T-test Results for Percent of Test Points in Confidence *Interval* by…

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

APA (6^{th} Edition):

Iacianci, B. C. (2012). Confidence Intervals on Cost Estimates When Using a Feature-based Approach. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939

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

Iacianci, Bryon C. “Confidence Intervals on Cost Estimates When Using a Feature-based Approach.” 2012. Masters Thesis, Ohio University. Accessed November 14, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

MLA Handbook (7^{th} Edition):

Iacianci, Bryon C. “Confidence Intervals on Cost Estimates When Using a Feature-based Approach.” 2012. Web. 14 Nov 2019.

Vancouver:

Iacianci BC. Confidence Intervals on Cost Estimates When Using a Feature-based Approach. [Internet] [Masters thesis]. Ohio University; 2012. [cited 2019 Nov 14]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939.

Council of Science Editors:

Iacianci BC. Confidence Intervals on Cost Estimates When Using a Feature-based Approach. [Masters Thesis]. Ohio University; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1353594939

University of Helsinki

17. Dyba, Tadeusz. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.

Degree: Mathematics and Statistics (Matematik och statistik, Institutionen för (Statsvetenskapliga fakulteten), 2000, University of Helsinki

URL: http://hdl.handle.net/10138/12210

►

Predictions of disease incidence, including cancer incidence, play an important role in an epidemiological analysis, both in an administrative and scientific context. The use of… (more)

Subjects/Keywords: incidence prediction - cancer; prediction interval; Poisson distribution; linear models; non-linear models; syöpä - ennusteet - matemaattiset mallit; Poissonin jakauma - sovellukset; incidence prediction - cancer; prediction interval; Poisson distribution; linear models; non-linear models; syöpä - ennusteet - matemaattiset mallit; Poissonin jakauma - sovellukset

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

APA (6^{th} Edition):

Dyba, T. (2000). Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. (Doctoral Dissertation). University of Helsinki. Retrieved from http://hdl.handle.net/10138/12210

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

Dyba, Tadeusz. “Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.” 2000. Doctoral Dissertation, University of Helsinki. Accessed November 14, 2019. http://hdl.handle.net/10138/12210.

MLA Handbook (7^{th} Edition):

Dyba, Tadeusz. “Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations.” 2000. Web. 14 Nov 2019.

Vancouver:

Dyba T. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. [Internet] [Doctoral dissertation]. University of Helsinki; 2000. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/10138/12210.

Council of Science Editors:

Dyba T. Precision of Cancer Incidence Predictions Based on Poisson Distributed Observations. [Doctoral Dissertation]. University of Helsinki; 2000. Available from: http://hdl.handle.net/10138/12210

Université de Bordeaux I

18. Merheb, Rania. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.

Degree: Docteur es, Mécanique et ingénierie, 2013, Université de Bordeaux I

URL: http://www.theses.fr/2013BOR14959

►

La conception des bâtiments à faible consommation d’énergie est devenue un enjeu très important dans le but de réduire au maximum la consommation d’énergie et… (more)

Subjects/Keywords: Bâtiment basse consommation; Fiabilité des prévisons; Incertitudes; Paramètres statiques; Analyse de sensibilité; Propagation d'incertitudes; Analyse par intervalle; Low-energy buildings; Reliable prediction; Uncertainties; Static parameters; Sensitivity analysis; Uncertainty propagation; Interval analysis

Record Details Similar Records

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

APA (6^{th} Edition):

Merheb, R. (2013). Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2013BOR14959

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

Merheb, Rania. “Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.” 2013. Doctoral Dissertation, Université de Bordeaux I. Accessed November 14, 2019. http://www.theses.fr/2013BOR14959.

MLA Handbook (7^{th} Edition):

Merheb, Rania. “Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth.” 2013. Web. 14 Nov 2019.

Vancouver:

Merheb R. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2013. [cited 2019 Nov 14]. Available from: http://www.theses.fr/2013BOR14959.

Council of Science Editors:

Merheb R. Fiabilité des outils de prévision du comportement des systèmes thermiques complexes : Stability of an internal gravity wave, local, global analysis and transient growth. [Doctoral Dissertation]. Université de Bordeaux I; 2013. Available from: http://www.theses.fr/2013BOR14959

19. Wu, Carole-Jean. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .

Degree: PhD, 2012, Princeton University

URL: http://arks.princeton.edu/ark:/88435/dsp0176537138f

► Given the emerging dominance of chip-multiprocessor (CMP) systems, an important research problem concerns application memory performance in the face of deep memory hierarchies, where one…
(more)

Subjects/Keywords: Cache interference; Chip-multiprocessor caches; Intra-application cache interference; Operating system cache effects; Prefetcher management; Re-reference interval prediction

…*interval* of a cache
line. This *prediction* can then be used to control the cache line’s lifetime… …reference *interval*
*prediction* (RRIP) framework [39] which modifies cache… …69
4.2
Intelligent Cache Insertions with Signature-Based Hit *Prediction* . . .
71
4.3… …re-reference *prediction*
on cache insertions [39, 68, 77, 92] can significantly… …propose the signature-based
cache hit *prediction* (SHiP) framework [87]…

Record Details Similar Records

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

APA (6^{th} Edition):

Wu, C. (2012). Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp0176537138f

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

Wu, Carole-Jean. “Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .” 2012. Doctoral Dissertation, Princeton University. Accessed November 14, 2019. http://arks.princeton.edu/ark:/88435/dsp0176537138f.

MLA Handbook (7^{th} Edition):

Wu, Carole-Jean. “Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference .” 2012. Web. 14 Nov 2019.

Vancouver:

Wu C. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . [Internet] [Doctoral dissertation]. Princeton University; 2012. [cited 2019 Nov 14]. Available from: http://arks.princeton.edu/ark:/88435/dsp0176537138f.

Council of Science Editors:

Wu C. Dynamic Techniques for Mitigating Inter- and Intra-Application Cache Interference . [Doctoral Dissertation]. Princeton University; 2012. Available from: http://arks.princeton.edu/ark:/88435/dsp0176537138f

University of Gothenburg / Göteborgs Universitet

20. Houltz, Birgitta 1952-. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.

Degree: 2000, University of Gothenburg / Göteborgs Universitet

URL: http://hdl.handle.net/2077/11749

► The interest in class III drugs has increased over the last decades as being potent antiarrhythmic agents in their mode of action by prolongation of…
(more)

Subjects/Keywords: Almokalant; class III antiarrhythmic agent; potassium channel blocker; atrial fibrillation; sinus rhythm; conversion; electrocardiographic; QT interval prolongation; T wave morphology; prediction; torsades de pointes; proarrhythmia; QT dispersion; ventric

Record Details Similar Records

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

APA (6^{th} Edition):

Houltz, B. 1. (2000). Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/11749

Not specified: Masters Thesis or Doctoral Dissertation

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

Houltz, Birgitta 1952-. “Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.” 2000. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed November 14, 2019. http://hdl.handle.net/2077/11749.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Houltz, Birgitta 1952-. “Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant.” 2000. Web. 14 Nov 2019.

Vancouver:

Houltz B1. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2000. [cited 2019 Nov 14]. Available from: http://hdl.handle.net/2077/11749.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Houltz B1. Antiarrhythmic and arrhythmic effects of an Ikr-blocking class III agent. A clinical and electrocardiographic study of almokalant. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2000. Available from: http://hdl.handle.net/2077/11749

Not specified: Masters Thesis or Doctoral Dissertation

21. Condon, James. Predicting Registered Health Information Administrator Examination Scores.

Degree: Doctor of Education in Education Administration (EdD), Department of Leadership, Technology, and Human Development, 2013, Georgia Southern University

URL: https://digitalcommons.georgiasouthern.edu/etd/807

► The purpose of this study was to determine whether differences existed among candidates for the Registered Health Information Administrator certification examination that may have…
(more)

Subjects/Keywords: ETD; RHIA exam; Professional certification examination success formula; Success prediction model; Approximate prediction interval; Educational Assessment, Evaluation, and Research; Secondary Education and Teaching; Teacher Education and Professional Development; Jack N. Averitt College of Graduate Studies, Electronic Theses & Dissertations, ETDs, Student Research

…professional certification, have effectively produced success *prediction*
formulas or models (… …paucity of professional education programs, no success
*prediction* model has yet been identified… …additional research directed
toward this area could potentially identify a success *prediction* model… …education, have conducted extensive research in this
area and have developed success *prediction*… …Administrator examination success
*prediction* model be identified?
Conceptual Framework
A conceptual…

Record Details Similar Records

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

APA (6^{th} Edition):

Condon, J. (2013). Predicting Registered Health Information Administrator Examination Scores. (Doctoral Dissertation). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/807

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

Condon, James. “Predicting Registered Health Information Administrator Examination Scores.” 2013. Doctoral Dissertation, Georgia Southern University. Accessed November 14, 2019. https://digitalcommons.georgiasouthern.edu/etd/807.

MLA Handbook (7^{th} Edition):

Condon, James. “Predicting Registered Health Information Administrator Examination Scores.” 2013. Web. 14 Nov 2019.

Vancouver:

Condon J. Predicting Registered Health Information Administrator Examination Scores. [Internet] [Doctoral dissertation]. Georgia Southern University; 2013. [cited 2019 Nov 14]. Available from: https://digitalcommons.georgiasouthern.edu/etd/807.

Council of Science Editors:

Condon J. Predicting Registered Health Information Administrator Examination Scores. [Doctoral Dissertation]. Georgia Southern University; 2013. Available from: https://digitalcommons.georgiasouthern.edu/etd/807

Linköping University

22. Vestin, Albin. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.

Degree: Automatic Control, 2019, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

► Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking…
(more)

Subjects/Keywords: evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m/n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking; Control Engineering; Reglerteknik

Record Details Similar Records

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

APA (6^{th} Edition):

Vestin, A. (2019). Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

Not specified: Masters Thesis or Doctoral Dissertation

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

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Thesis, Linköping University. Accessed November 14, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Web. 14 Nov 2019.

Vancouver:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Nov 14]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

Not specified: Masters Thesis or Doctoral Dissertation