eBook - PDF

Parametric Statistical Inference

Name: Parametric Statistical Inference
ISBN: 9781483150499

Basic Theory and Modern Approaches

Shelemyahu Zacks,

V. Lakshmikantham,

C. P. Tsokos,

404 pages
English
PDF
Available on iOS & Android

eBook - PDF

Parametric Statistical Inference

Basic Theory and Modern Approaches

Shelemyahu Zacks,

V. Lakshmikantham,

C. P. Tsokos,

About this book

Parametric Statistical Inference: Basic Theory and Modern Approaches presents the developments and modern trends in statistical inference to students who do not have advanced mathematical and statistical preparation. The topics discussed in the book are basic and common to many fields of statistical inference and thus serve as a jumping board for in-depth study. The book is organized into eight chapters. Chapter 1 provides an overview of how the theory of statistical inference is presented in subsequent chapters. Chapter 2 briefly discusses statistical distributions and their properties. Chapter 3 is devoted to the problem of sufficient statistics and the information in samples, and Chapter 4 presents some basic results from the theory of testing statistical hypothesis. In Chapter 5, the classical theory of estimation is developed. Chapter 6 discusses the efficiency of estimators and some large sample properties, while Chapter 7 studies the topics on confidence intervals. Finally, Chapter 8 is about decision theoretic and Bayesian approach in testing and estimation. Senior undergraduate and graduate students in statistics and mathematics, and those who have taken an introductory course in probability will highly benefit from this book.

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Yes, you can access Parametric Statistical Inference by Shelemyahu Zacks, V. Lakshmikantham,C. P. Tsokos in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.