Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
$85.68
Description
Book Synopsis: Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods.
The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment of maximum likelihood estimates (MLEs) and examines the theory of testing and confidence regions, including optimality theory for estimation and elementary robustness considerations.
It next presents basic asymptotic approximations with one-dimensional parameter models as examples. The book also describes inference in multivariate (multiparameter) models, exploring asymptotic normality and optimality of MLEs, Wald and Rao statistics, generalized linear models, and more.
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II will be published in 2015. It will present important statistical concepts, methods, and tools not covered in Volume I.
Details
Are you ready to take your understanding of statistics to the next level? Look no further than Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition. This comprehensive book presents fundamental statistical concepts at the doctorate level, giving you the knowledge and skills to become a statistical expert. Whether you are a student, researcher, or practitioner, this book is an invaluable resource for learning and applying statistical techniques.
With careful proofs and insightful explanations, Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition, provides a solid foundation in statistical theory. From estimation and prediction to testing and Bayesian analysis, this book covers a wide range of topics that are essential for understanding and conducting statistical research. You will gain a deep understanding of the theory behind practical methods, enabling you to make informed decisions and confidently analyze data.
One of the highlights of this edition is its emphasis on non- and semiparametric models. By exploring these models in detail, the book offers a broader perspective on statistical analysis and expands your toolkit for solving real-world problems. Additionally, the book delves into maximum likelihood estimation, testing and confidence regions, and basic asymptotic approximations. It also covers inference in multivariate models, generalized linear models, and more.
But that's not all! Volume II of Mathematical Statistics: Basic Ideas and Selected Topics, set to be published in 2015, will build upon the concepts covered in Volume I and introduce important statistical concepts and methods not covered before. With both volumes in your library, you will have a comprehensive guide to statistical analysis that will serve you throughout your academic and professional career.
Don't miss out on this opportunity to enhance your statistical knowledge. Take the next step in your statistical journey and get your copy of Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition today! Click here to order now.
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