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Statistical Theory

- A Concise Introduction
Af: Ya'acov Ritov, Felix Abramovich Engelsk Hardback

Statistical Theory

- A Concise Introduction
Af: Ya'acov Ritov, Felix Abramovich Engelsk Hardback
Tjek vores konkurrenters priser
"Designed for a one-semester advanced undergraduate or graduate statistical theory course, Statistical Theory: A Concise Introduction, Second Edition clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models, nonparametric statistics, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrativeexamples in addition to the formal definitions, theorems, and proofs. Based on the authors'' lecture notes, the book is self-contained, which maintains a proper balance between the clarity and rigor of exposition. In a few cases, the authors present a "sketched" version of a proof, explaining its main ideas rather than giving detailed technical mathematical and probabilistic arguments. Features: Second edition has been updated with a new chapter on Nonparametric Estimation; a significant update to the chapter on Statistical Decision Theory; and other updates throughout No requirement for heavy calculus, and simple questions throughout the text help students check their understanding of the material Each chapter also includes a set of exercises that range in level of difficulty Self-contained, and can be used by the students to understand the theory Chapters and sections marked by asterisks contain more advanced topics and may be omitted Special chapters on linear models and nonparametric statistics show how the main theoretical concepts can be applied to well-known and frequently used statistical tools The primary audience for the book is students who want to understand the theoretical basis of mathematical statistics; either advanced undergraduate or graduate students. It will also be an excellent reference for researchers from statistics and other quantitative disciplines"--
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"Designed for a one-semester advanced undergraduate or graduate statistical theory course, Statistical Theory: A Concise Introduction, Second Edition clearly explains the underlying ideas, mathematics, and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, linear models, nonparametric statistics, and elements of decision theory. It introduces these topics on a clear intuitive level using illustrativeexamples in addition to the formal definitions, theorems, and proofs. Based on the authors'' lecture notes, the book is self-contained, which maintains a proper balance between the clarity and rigor of exposition. In a few cases, the authors present a "sketched" version of a proof, explaining its main ideas rather than giving detailed technical mathematical and probabilistic arguments. Features: Second edition has been updated with a new chapter on Nonparametric Estimation; a significant update to the chapter on Statistical Decision Theory; and other updates throughout No requirement for heavy calculus, and simple questions throughout the text help students check their understanding of the material Each chapter also includes a set of exercises that range in level of difficulty Self-contained, and can be used by the students to understand the theory Chapters and sections marked by asterisks contain more advanced topics and may be omitted Special chapters on linear models and nonparametric statistics show how the main theoretical concepts can be applied to well-known and frequently used statistical tools The primary audience for the book is students who want to understand the theoretical basis of mathematical statistics; either advanced undergraduate or graduate students. It will also be an excellent reference for researchers from statistics and other quantitative disciplines"--
Produktdetaljer
Sprog: Engelsk
Sider: 222
ISBN-13: 9781032007458
Indbinding: Hardback
Udgave: 2
ISBN-10: 1032007451
Udg. Dato: 23 dec 2022
Længde: 20mm
Bredde: 260mm
Højde: 184mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 23 dec 2022
Forfatter(e) Ya'acov Ritov, Felix Abramovich


Kategori Sandsynlighedsregning og statistik


ISBN-13 9781032007458


Sprog Engelsk


Indbinding Hardback


Sider 222


Udgave 2


Længde 20mm


Bredde 260mm


Højde 184mm


Udg. Dato 23 dec 2022


Oplagsdato 23 dec 2022


Forlag Taylor & Francis Ltd