Incorporating the latest information on developments in the field of statistical inference, this book looks at various approaches to point estimation, hypotheses testing, interval estimation and model building. Intended to be a handbook, it concentrates on ideas (rather than comprehensive theorem-proving), and contains many exercises. Although it is written at a fairly advanced level, the book employs only the necessary mathematics for a full understanding of the text. Topics covered include a discussion on the properties of estimators and methods of estimation, hypotheses testing and interval estimation. Both the classical and decision theory/Bayesian approaches are covered. Other topics which are described more briefly include, amongst others, robust and non-parametric procedures, computationally intensive methods and generalized linear models.

Statistical Inference

Science & Math

Jones, Byron

Jolliffe, I.T.

Garthwaite, Paul H.

Mathematics

PRENTICE/HALL

The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition.

Principal Component Analysis (Springer Series in Statistics)

Springer

Specification of Time Series Models

Kumar, K.

World Scientific Pub Co Inc

Originally published in 1986, this book consists of 100 problems in probability and statistics, together with solutions and, most importantly, extensive notes on the solutions. The level of sophistication of the problems is similar to that encountered in many introductory courses in probability and statistics. At this level, straightforward solutions to the problems are of limited value unless they contain informed discussion of the choice of technique used, and possible alternatives. The solutions in the book are therefore elaborated with extensive notes which add value to the solutions themselves. The notes enable the reader to discover relationships between various statistical techniques, and provide the confidence needed to tackle new problems.

Statistics: Problems and Solutions

Morgan, B. J. T.

Jones, B.

Bremner, J. M.

North, P. M.

Bassett, E. E.

World Scientific Publishing Company

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