Titre :	Mathematical Statistics With Applications : Statistics: A Series of Textbooks and Monographs)
Type de document :	texte imprimé
Auteurs :	Asha Seth Kapadia, Auteur ; Wenyaw Chan, Auteur ; Lemuel Moyé, Auteur
Mention d'édition :	1éd.
Editeur :	Francis :CRC Press
Année de publication :	2023
ISBN/ISSN/EAN :	978-1-03-247789-3
Note générale :	Index:p.611
Langues :	Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm)
Catégories :	2 Science
Mots-clés :	Mathematical Statistics,statistics
Index. décimale :	519
Résumé :	Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
Note de contenu :	Preface Introduction Review of Mathematics Probability Theory Random Variables Discrete Distributions Continuous Random Variables Distributions of Order Statistics Asymptotic Distribution Theory Point Estimation Limiting Approaches Hypothesis Testing Interval Estimation Introduction to computational Methods

Mathematical Statistics With Applications : Statistics: A Series of Textbooks and Monographs) [texte imprimé] / Asha Seth Kapadia, Auteur ; Wenyaw Chan, Auteur ; Lemuel Moyé, Auteur  . -  1éd. . - [S.l.] : Francis :CRC Press, 2023.
ISBN : 978-1-03-247789-3
Index:p.611
Langues : Anglais moyen (ca.1100-1500) (enm) Langues originales : Anglais moyen (ca.1100-1500) (enm)

Catégories :	2 Science
Mots-clés :	Mathematical Statistics,statistics
Index. décimale :	519
Résumé :	Mathematical statistics typically represents one of the most difficult challenges in statistics, particularly for those with more applied, rather than mathematical, interests and backgrounds. Most textbooks on the subject provide little or no review of the advanced calculus topics upon which much of mathematical statistics relies and furthermore contain material that is wholly theoretical, thus presenting even greater challenges to those interested in applying advanced statistics to a specific area. Mathematical Statistics with Applications presents the background concepts and builds the technical sophistication needed to move on to more advanced studies in multivariate analysis, decision theory, stochastic processes, or computational statistics. Applications embedded within theoretical discussions clearly demonstrate the utility of the theory in a useful and relevant field of application and allow readers to avoid sudden exposure to purely theoretical materials. With its clear explanations and more than usual emphasis on applications and computation, this text reaches out to the many students and professionals more interested in the practical use of statistics to enrich their work in areas such as communications, computer science, economics, astronomy, and public health.
Note de contenu :	Preface Introduction Review of Mathematics Probability Theory Random Variables Discrete Distributions Continuous Random Variables Distributions of Order Statistics Asymptotic Distribution Theory Point Estimation Limiting Approaches Hypothesis Testing Interval Estimation Introduction to computational Methods