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title : Probability and Statistics for Physical Sciences Type de document : printed text Auteur : Brian Martin, Author Editeur : america : Academic press Date de publication : 2023 Nombre de pages : 396p. Dimensions : 23*19 ISBN (ou autre code) : 978-0-443-18969-2 Langue : English (eng) Langue originale : English (eng) Indexation : Prapm Résumé : Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines. Provides a collection of useful formulas with mathematical background Includes worked examples throughout and end-of-chapter problems for practice Offers a logical progression through topics and methods in statistics and probability Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-05-1.pdf Probability and Statistics for Physical Sciences [printed text] / Brian Martin, Author . - america : Academic press, 2023 . - 396p. ; 23*19.
ISBN : 978-0-443-18969-2
Langue : English (eng) Langue originale : English (eng)
Indexation : Prapm Résumé : Probability and Statistics for Physical Sciences, Second Edition is an accessible guide to commonly used concepts and methods in statistical analysis used in the physical sciences. This brief yet systematic introduction explains the origin of key techniques, providing mathematical background and useful formulas. The text does not assume any background in statistics and is appropriate for a wide-variety of readers, from first-year undergraduate students to working scientists across many disciplines. Provides a collection of useful formulas with mathematical background Includes worked examples throughout and end-of-chapter problems for practice Offers a logical progression through topics and methods in statistics and probability Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-05-1.pdf Réservation
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Barcode Call number Media type Location Section Statut Prapm/52373 519/05/1 Books Central Library External lending bank library AVAILABLE Prapm/52374 519/05/2 Books Central Library External lending bank library AVAILABLE
title : Statistical Computing in C++ and R : Design and Performance Type de document : printed text Auteur : Randall L. Eubank, Author Editeur : london : Chapman and Hall/CRC Date de publication : 2011 Nombre de pages : 540p. Dimensions : 24*17 ISBN (ou autre code) : 978-1-03-247761-9 Langue : English (eng) Langue originale : English (eng) Indexation : Prapm Résumé : Parallel processing can be ideally suited for the solving of more complex problems in statistical co mputing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R. Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-04-1.pdf Statistical Computing in C++ and R : Design and Performance [printed text] / Randall L. Eubank, Author . - london : Chapman and Hall/CRC, 2011 . - 540p. ; 24*17.
ISBN : 978-1-03-247761-9
Langue : English (eng) Langue originale : English (eng)
Indexation : Prapm Résumé : Parallel processing can be ideally suited for the solving of more complex problems in statistical co mputing. This book discusses code development in C++ and R, before going beyond to look at the valuable use of these two languages in unison. It covers linear equation solution with regression and linear models motivation, optimization with maximum likelihood and nonlinear least squares motivation, and random number generation. While the text does require a working knowledge of basic concepts in statistics and experience in programming, it does not require knowledge specific to C++ or R. Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-04-1.pdf Réservation
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Barcode Call number Media type Location Section Statut Prapm/52341 519/04/1 Books Central Library External lending bank library AVAILABLE Prapm/52342 519/04/2 Books Central Library External lending bank library AVAILABLE
title : Statistical Methods for Handling Incomplete Data Type de document : printed text Auteur : Jae Kwang Kim, Author Editeur : london : Chapman and Hall/CRC Date de publication : 2024 Nombre de pages : 364p. Dimensions : 24*16 ISBN (ou autre code) : 978-1-03-211813-0 Langue : English (eng) Langue originale : English (eng) Indexation : Prapm Résumé : Due to recent theoretical findings and advances in statistical computing, there has been a rapid dev elopment of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies. Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-02-1.pdf Statistical Methods for Handling Incomplete Data [printed text] / Jae Kwang Kim, Author . - london : Chapman and Hall/CRC, 2024 . - 364p. ; 24*16.
ISBN : 978-1-03-211813-0
Langue : English (eng) Langue originale : English (eng)
Indexation : Prapm Résumé : Due to recent theoretical findings and advances in statistical computing, there has been a rapid dev elopment of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies. Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-02-1.pdf Réservation
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Barcode Call number Media type Location Section Statut Prapm/52269 519/02/1 Books Central Library External lending bank library AVAILABLE Prapm/52270 519/02/2 Books Central Library External lending bank library AVAILABLE
title : Steps to a 5 : AP Statistics 2024 5 Type de document : printed text Auteur : Jared Derksen, Author Editeur : America : McGraw Hill Date de publication : 2024 Nombre de pages : 378p. Dimensions : 28*22 ISBN (ou autre code) : 978-1-265-26310-2 Langue : English (eng) Langue originale : English (eng) Indexation : Prapm Résumé : Ready to succeed in your AP course and ace your exam? Our 5 Steps to a 5 guides explain the tough st uff, offer tons of practice and explanations, and help you make the most efficient use of your study time. 5 Steps to a 5: AP Statistics is more than a review guide, it’s a system that has helped thousands of students walk into test day feeling prepared and confident. Everything You Need for a 5: 3 full-length practice tests that align with the latest College Board requirements Hundreds of practice exercises with answer explanations Comprehensive overview of all test topics Proven strategies from seasoned AP educators Study on the Go: All instructional content in digital format (for both computers and mobile devices) Interactive practice tests with answer explanations A self-guided, personalized study plan with daily goals, powerful analytics, flashcards, games, and more A Great In-class Supplement: 5 Steps is an ideal companion to your main AP text Includes an AP Statistics Teacher’s Manual that offers excellent guidance to educators for better use of the 5 Steps resources Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-01-1.pdf Steps to a 5 : AP Statistics 2024 5 [printed text] / Jared Derksen, Author . - America : McGraw Hill, 2024 . - 378p. ; 28*22.
ISBN : 978-1-265-26310-2
Langue : English (eng) Langue originale : English (eng)
Indexation : Prapm Résumé : Ready to succeed in your AP course and ace your exam? Our 5 Steps to a 5 guides explain the tough st uff, offer tons of practice and explanations, and help you make the most efficient use of your study time. 5 Steps to a 5: AP Statistics is more than a review guide, it’s a system that has helped thousands of students walk into test day feeling prepared and confident. Everything You Need for a 5: 3 full-length practice tests that align with the latest College Board requirements Hundreds of practice exercises with answer explanations Comprehensive overview of all test topics Proven strategies from seasoned AP educators Study on the Go: All instructional content in digital format (for both computers and mobile devices) Interactive practice tests with answer explanations A self-guided, personalized study plan with daily goals, powerful analytics, flashcards, games, and more A Great In-class Supplement: 5 Steps is an ideal companion to your main AP text Includes an AP Statistics Teacher’s Manual that offers excellent guidance to educators for better use of the 5 Steps resources Lien vers la ressource électronique : http://opac.centre-univ-mila.dz/z//519-01-1.pdf Réservation
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Barcode Call number Media type Location Section Statut Prapm/52259 519/01/1 Books Central Library External lending bank library AVAILABLE Prapm/52260 519/01/2 Books Central Library External lending bank library AVAILABLE
