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You searched for subject:(Prediction intervals). Showing records 1 – 14 of 14 total matches.

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Missouri University of Science and Technology

1. Rueck, Florian Sebastian. Bootstrap prediction intervals for multivariate time series.

Degree: PhD, Mathematics, Missouri University of Science and Technology

 "The theory and methodology of obtaining bootstrap prediction intervals for univariate time series using the forward representation of the series is extended to vector autoregressive… (more)

Subjects/Keywords: Prediction intervals; Mathematics

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

APA (6th Edition):

Rueck, F. S. (n.d.). Bootstrap prediction intervals for multivariate time series. (Doctoral Dissertation). Missouri University of Science and Technology. Retrieved from http://scholarsmine.mst.edu/doctoral_dissertations/1621

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Rueck, Florian Sebastian. “Bootstrap prediction intervals for multivariate time series.” Doctoral Dissertation, Missouri University of Science and Technology. Accessed December 12, 2019. http://scholarsmine.mst.edu/doctoral_dissertations/1621.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Rueck, Florian Sebastian. “Bootstrap prediction intervals for multivariate time series.” Web. 12 Dec 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Rueck FS. Bootstrap prediction intervals for multivariate time series. [Internet] [Doctoral dissertation]. Missouri University of Science and Technology; [cited 2019 Dec 12]. Available from: http://scholarsmine.mst.edu/doctoral_dissertations/1621.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Rueck FS. Bootstrap prediction intervals for multivariate time series. [Doctoral Dissertation]. Missouri University of Science and Technology; Available from: http://scholarsmine.mst.edu/doctoral_dissertations/1621

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Brunel University

2. Ally, Abdallah K. Quantile-based methods for prediction, risk measurement and inference.

Degree: PhD, 2010, Brunel University

 The focus of this thesis is on the employment of theoretical and practical quantile methods in addressing prediction, risk measurement and inference problems. From a… (more)

Subjects/Keywords: 519; Prediction intervals; Expected shortfall; Realised volatility; Integrated volatility; Quantile regression confidence bands

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APA (6th Edition):

Ally, A. K. (2010). Quantile-based methods for prediction, risk measurement and inference. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/5342 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535936

Chicago Manual of Style (16th Edition):

Ally, Abdallah K. “Quantile-based methods for prediction, risk measurement and inference.” 2010. Doctoral Dissertation, Brunel University. Accessed December 12, 2019. http://bura.brunel.ac.uk/handle/2438/5342 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535936.

MLA Handbook (7th Edition):

Ally, Abdallah K. “Quantile-based methods for prediction, risk measurement and inference.” 2010. Web. 12 Dec 2019.

Vancouver:

Ally AK. Quantile-based methods for prediction, risk measurement and inference. [Internet] [Doctoral dissertation]. Brunel University; 2010. [cited 2019 Dec 12]. Available from: http://bura.brunel.ac.uk/handle/2438/5342 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535936.

Council of Science Editors:

Ally AK. Quantile-based methods for prediction, risk measurement and inference. [Doctoral Dissertation]. Brunel University; 2010. Available from: http://bura.brunel.ac.uk/handle/2438/5342 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535936

3. Makarova, Natalya. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.

Degree: MS, Department of Statistics, 2012, Kansas State University

 Suppose that based on data consisting of independent repetitions of an experiment a researcher wants to predict the outcome of the next independent outcome of… (more)

Subjects/Keywords: Prediction intervals; Robustness; Simulation study; Location-scale family of distributions; Statistics (0463)

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APA (6th Edition):

Makarova, N. (2012). A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/14749

Chicago Manual of Style (16th Edition):

Makarova, Natalya. “A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.” 2012. Masters Thesis, Kansas State University. Accessed December 12, 2019. http://hdl.handle.net/2097/14749.

MLA Handbook (7th Edition):

Makarova, Natalya. “A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.” 2012. Web. 12 Dec 2019.

Vancouver:

Makarova N. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/2097/14749.

Council of Science Editors:

Makarova N. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/14749


Western Kentucky University

4. Karimli, Nigar. Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing.

Degree: MS, Department of Mathematics, 2019, Western Kentucky University

  For this project, we use a modified version of a previously developed mathematical model, which describes the relationships among matrix metalloproteinases (MMPs), their tissue… (more)

Subjects/Keywords: Subset Selection; SE-optimal; Diabetic Foot Ulcer; Confidence Intervals; Prediction Intervals; Applied Mathematics; Medical Biomathematics and Biometrics; Non-linear Dynamics; Numerical Analysis and Computation; Ordinary Differential Equations and Applied Dynamics

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APA (6th Edition):

Karimli, N. (2019). Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/3114

Chicago Manual of Style (16th Edition):

Karimli, Nigar. “Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing.” 2019. Masters Thesis, Western Kentucky University. Accessed December 12, 2019. https://digitalcommons.wku.edu/theses/3114.

MLA Handbook (7th Edition):

Karimli, Nigar. “Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing.” 2019. Web. 12 Dec 2019.

Vancouver:

Karimli N. Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing. [Internet] [Masters thesis]. Western Kentucky University; 2019. [cited 2019 Dec 12]. Available from: https://digitalcommons.wku.edu/theses/3114.

Council of Science Editors:

Karimli N. Parameter Estimation and Optimal Design Techniques to Analyze a Mathematical Model in Wound Healing. [Masters Thesis]. Western Kentucky University; 2019. Available from: https://digitalcommons.wku.edu/theses/3114


University of North Carolina – Wilmington

5. Duggins, Jonathan W. Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators.

Degree: 2009, University of North Carolina – Wilmington

 The goal of this paper is to present a method for construction of simultaneous Scheff´e confidence bands for nonparametric prediction functions. The family of nonparametric… (more)

Subjects/Keywords: Confidence intervals; Regression analysis; Prediction theory; Nonparametric statistics

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APA (6th Edition):

Duggins, J. W. (2009). Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators. (Masters Thesis). University of North Carolina – Wilmington. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=832

Chicago Manual of Style (16th Edition):

Duggins, Jonathan W. “Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators.” 2009. Masters Thesis, University of North Carolina – Wilmington. Accessed December 12, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=832.

MLA Handbook (7th Edition):

Duggins, Jonathan W. “Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators.” 2009. Web. 12 Dec 2019.

Vancouver:

Duggins JW. Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators. [Internet] [Masters thesis]. University of North Carolina – Wilmington; 2009. [cited 2019 Dec 12]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=832.

Council of Science Editors:

Duggins JW. Simultaneous confidence bands for nonparametric, polynomial-trigonometric regression estimators. [Masters Thesis]. University of North Carolina – Wilmington; 2009. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=832

6. Adjenughwure, Kingsley. Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures.

Degree: 2019, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ)

Fuzzy logic and probability theory are both useful for dealing with uncertainty, various models have been built using these two paradigms. However, there has been… (more)

Subjects/Keywords: Ασαφής λογική; Στατιστική; Διαστήματα εμπιστοσύνης; Συγκοινωνιακός σχεδιασμός; Διαστήματα πρόβλεψης; Τεχνική νοημοσύνης; Fuzzy logic; Statistics; Prediction intervals; Artificial intelligence; Transportation panning and economics; Transportation statistics; Fuzzy statistics; Fuzzy inference systems

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APA (6th Edition):

Adjenughwure, K. (2019). Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures. (Thesis). Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/45924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Adjenughwure, Kingsley. “Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures.” 2019. Thesis, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Accessed December 12, 2019. http://hdl.handle.net/10442/hedi/45924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Adjenughwure, Kingsley. “Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures.” 2019. Web. 12 Dec 2019.

Vancouver:

Adjenughwure K. Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures. [Internet] [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2019. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10442/hedi/45924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adjenughwure K. Development and application of hybrid fuzzy-statistical and artificial intelligence methods in the design, operation and management of transportation systems and infrastructures. [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2019. Available from: http://hdl.handle.net/10442/hedi/45924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Λιβάνης, Ευστράτιος. Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές.

Degree: 2007, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών

 Τα τελευταία χρόνια, τα νευρωνικά δίκτυα καθιερώνονται όλο και περισσότερο στο χώρο της ακαδημαϊκής έρευνας αλλά και της εμπορικής εκμετάλλευσης. Το κύριο χαρακτηριστικό τους είναι… (more)

Subjects/Keywords: Νευρωνικά δίκτυα; Διαστήματα εμπιστοσύνης; Διαστήματα πρόβλεψης; Αποτίμηση αξίας εταιρίας; Δημόσια εγγραφή; Πρόβλεψη αποδόσεων; Neural networks; Confidence intervals; Prediction intervals; Initial public offerings; Forecasting; Bootsrap

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APA (6th Edition):

Λιβάνης, . . (2007). Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές. (Thesis). University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Retrieved from http://hdl.handle.net/10442/hedi/18681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Λιβάνης, Ευστράτιος. “Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές.” 2007. Thesis, University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών. Accessed December 12, 2019. http://hdl.handle.net/10442/hedi/18681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Λιβάνης, Ευστράτιος. “Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές.” 2007. Web. 12 Dec 2019.

Vancouver:

Λιβάνης . Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές. [Internet] [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2007. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10442/hedi/18681.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Λιβάνης . Ανάπτυξη και αξιολόγηση νευρωνικών μεθόδων πρόβλεψης και ταξινόμησης με κύρια έμφαση στις χρηματοικονομικές εφαρμογές. [Thesis]. University of Macedonia Economic and Social Sciences; Πανεπιστήμιο Μακεδονίας Οικονομικών και Κοινωνικών Επιστημών; 2007. Available from: http://hdl.handle.net/10442/hedi/18681

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Ak, Ronay. Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques.

Degree: Docteur es, Energie (SPI), 2014, Supélec

Cette thèse s’intéresse à la problématique de la prédiction dans le cadre du design de systèmes énergétiques et des problèmes d’opération, et en particulier, à… (more)

Subjects/Keywords: Intervalles de prédiction; Perceptron multi-couches; Algorithme génétique multi-objectif; Évaluation de l’adéquation; Prédiction de la vitesse du vent à court terme; Production d’énergie éolienne; Prédiction de la demande d'énergie; Incertitude; Prediction intervals; Multi-layer perceptron neural networks; Multi-objective genetic algorithm; Adequacy assessment; Wind speed prediction; Wind power production; Load forecasting; Uncertainty; 378.242

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APA (6th Edition):

Ak, R. (2014). Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques. (Doctoral Dissertation). Supélec. Retrieved from http://www.theses.fr/2014SUPL0015

Chicago Manual of Style (16th Edition):

Ak, Ronay. “Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques.” 2014. Doctoral Dissertation, Supélec. Accessed December 12, 2019. http://www.theses.fr/2014SUPL0015.

MLA Handbook (7th Edition):

Ak, Ronay. “Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques.” 2014. Web. 12 Dec 2019.

Vancouver:

Ak R. Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques. [Internet] [Doctoral dissertation]. Supélec; 2014. [cited 2019 Dec 12]. Available from: http://www.theses.fr/2014SUPL0015.

Council of Science Editors:

Ak R. Neural Network Modeling for Prediction under Uncertainty in Energy System Applications. : Modélisation à base de réseaux de neurones dédiés à la prédiction sous incertitudes appliqué aux systèmes energétiques. [Doctoral Dissertation]. Supélec; 2014. Available from: http://www.theses.fr/2014SUPL0015


Georgia Tech

9. Wang, Shuchun. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.

Degree: PhD, Industrial and Systems Engineering, 2006, Georgia Tech

 Despite their success and widespread usage in industry and business, ES methods have received little attention from the statistical community. We investigate three types of… (more)

Subjects/Keywords: State space model; Prediction intervals; ARIMA models; Model selection; Maximum likelihood estimation; Gaussian process; Smoothing (Statistics); Computer simulation

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APA (6th Edition):

Wang, S. (2006). Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/19753

Chicago Manual of Style (16th Edition):

Wang, Shuchun. “Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.” 2006. Doctoral Dissertation, Georgia Tech. Accessed December 12, 2019. http://hdl.handle.net/1853/19753.

MLA Handbook (7th Edition):

Wang, Shuchun. “Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models.” 2006. Web. 12 Dec 2019.

Vancouver:

Wang S. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1853/19753.

Council of Science Editors:

Wang S. Exponential Smoothing for Forecasting and Bayesian Validation of Computer Models. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/19753

10. QUAN HAO. UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS.

Degree: 2014, National University of Singapore

Subjects/Keywords: uncertainty quantification; renewable energy integration; prediction intervals; neural network; distributed power systems; decision making

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APA (6th Edition):

HAO, Q. (2014). UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/119032

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HAO, QUAN. “UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS.” 2014. Thesis, National University of Singapore. Accessed December 12, 2019. http://scholarbank.nus.edu.sg/handle/10635/119032.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HAO, QUAN. “UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS.” 2014. Web. 12 Dec 2019.

Vancouver:

HAO Q. UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Dec 12]. Available from: http://scholarbank.nus.edu.sg/handle/10635/119032.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HAO Q. UNCERTAINTY MODELING IN DISTRIBUTED POWER SYSTEMS. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/119032

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

11. Lindsey, Matthew Douglas. Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory.

Degree: 2007, University of North Texas

 Application of multisource feedback (MSF) increased dramatically and became widespread globally in the past two decades, but there was little conceptual work regarding self-other agreement… (more)

Subjects/Keywords: Slow-moving inventory; Bayesian estimation; demand rate prediction intervals; Inventory control  – Mathematical models.; Supply and demand  – Mathematical models.; intermittent demand

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APA (6th Edition):

Lindsey, M. D. (2007). Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc3946/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lindsey, Matthew Douglas. “Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory.” 2007. Thesis, University of North Texas. Accessed December 12, 2019. https://digital.library.unt.edu/ark:/67531/metadc3946/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lindsey, Matthew Douglas. “Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory.” 2007. Web. 12 Dec 2019.

Vancouver:

Lindsey MD. Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory. [Internet] [Thesis]. University of North Texas; 2007. [cited 2019 Dec 12]. Available from: https://digital.library.unt.edu/ark:/67531/metadc3946/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lindsey MD. Reliable Prediction Intervals and Bayesian Estimation for Demand Rates of Slow-Moving Inventory. [Thesis]. University of North Texas; 2007. Available from: https://digital.library.unt.edu/ark:/67531/metadc3946/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

12. Grégoire, Gabrielle. Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions .

Degree: 2019, Université de Montréal

Subjects/Keywords: Série temporelle; Modèles autorégressifs à transition lisse; Stationnarité; Prévisions ponctuelles; Intervalles de prévision; Time series; Smooth transition autoregressive models; Stationnarity; Forecasting; Prediction intervals

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APA (6th Edition):

Grégoire, G. (2019). Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/22550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Grégoire, Gabrielle. “Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions .” 2019. Thesis, Université de Montréal. Accessed December 12, 2019. http://hdl.handle.net/1866/22550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Grégoire, Gabrielle. “Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions .” 2019. Web. 12 Dec 2019.

Vancouver:

Grégoire G. Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions . [Internet] [Thesis]. Université de Montréal; 2019. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/1866/22550.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Grégoire G. Sur les modèles non-linéaires autorégressifs à transition lisse et le calcul de leurs prévisions . [Thesis]. Université de Montréal; 2019. Available from: http://hdl.handle.net/1866/22550

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Conde Amboage, Mercedes. Statistical Inference in Quantile Regression Models.

Degree: 2018, Universidad de Santiago de Compostela

Subjects/Keywords: Quantile regression; Prediction intervals; Bandwidth selection; Lack-of-fit test; Materias::Investigación::12 Matemáticas::1209 Estadística::120906 Métodos de distribución libre y no paramétrica; Materias::Investigación::12 Matemáticas::1209 Estadística::120913 Técnicas de inferencia estadística

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

APA (6th Edition):

Conde Amboage, M. (2018). Statistical Inference in Quantile Regression Models. (Thesis). Universidad de Santiago de Compostela. Retrieved from http://hdl.handle.net/10347/15424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Conde Amboage, Mercedes. “Statistical Inference in Quantile Regression Models.” 2018. Thesis, Universidad de Santiago de Compostela. Accessed December 12, 2019. http://hdl.handle.net/10347/15424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Conde Amboage, Mercedes. “Statistical Inference in Quantile Regression Models.” 2018. Web. 12 Dec 2019.

Vancouver:

Conde Amboage M. Statistical Inference in Quantile Regression Models. [Internet] [Thesis]. Universidad de Santiago de Compostela; 2018. [cited 2019 Dec 12]. Available from: http://hdl.handle.net/10347/15424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Conde Amboage M. Statistical Inference in Quantile Regression Models. [Thesis]. Universidad de Santiago de Compostela; 2018. Available from: http://hdl.handle.net/10347/15424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Pontifical Catholic University of Rio de Janeiro

14. LUCIANA DOS SANTOS LIMA. [en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS.

Degree: 2003, Pontifical Catholic University of Rio de Janeiro

[pt] Nas últimas décadas, tem-se observado um crescente interesse nas tecnologias relacionadas a ambientes de comunicação móvel sem fio. Em grande parte, esse interesse vem… (more)

Subjects/Keywords: [pt] FRAMEWORK; [en] FRAMEWORK; [pt] QUALIDADE DO SERVICO; [en] SERVICES QUALITY; [pt] REDES MOVEIS SEM FIO; [en] WIRELESS MOBILE NETWORKS; [pt] GERENCIAMENTO DE MOBILIDADE; [en] MOBILITY MANAGEMENT; [pt] PREDICAO DE MOBILIDADE; [en] MOBILITY PREDICTION; [pt] RESERVA DE RECURSOS ANTECIPADA; [en] RESOURCE RESERVATION IN ADVANCE; [pt] INTERVALOS DE QOS; [en] QOS INTERVALS

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

LIMA, L. D. S. (2003). [en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

LIMA, LUCIANA DOS SANTOS. “[en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS.” 2003. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed December 12, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

LIMA, LUCIANA DOS SANTOS. “[en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS.” 2003. Web. 12 Dec 2019.

Vancouver:

LIMA LDS. [en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2003. [cited 2019 Dec 12]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3381.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

LIMA LDS. [en] A FRAMEWORK FOR QOS PROVISIONING IN WIRELESS MOBILE NETWORKS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2003. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3381

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.