Kendall's Advanced Theory of Statistics, Distribution Theory

Kendall's Advanced Theory of Statistics, Distribution Theory
Author: Maurice George Kendall
Publisher: Wiley-Interscience
Total Pages: 712
Release: 1994-06-30
Genre: Business & Economics
ISBN:

This major revision contains a largely new chapter 7 providing an extensive discussion of the bivariate and multivariate versions of the standard distributions and families. Chapter 16 has been enlarged to cover multivariate sampling theory, an updated version of material previously found inthe old Volume III. The previous chapters 7 and 8 have been condensed into a single chapter providing an introduction to statistical inference. Elsewhere, major updates include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normalintegral and ratios of quadratic forms. The new edition includes over 200 new references, 40 new exercises and 20 further examples in the main text. In addition, all the text examples have been given titles, and these are listed at the front of the book for easier reference.

Kendalls Advanced Theory of Statistics, 3 Volume Set

Kendalls Advanced Theory of Statistics, 3 Volume Set
Author: Alan Stuart
Publisher: Wiley
Total Pages: 250
Release: 2009-02-24
Genre: Mathematics
ISBN: 9780340814932

This 3-volume set offers the complete, classic Kendall's Advanced Theory of Statistics in a single, value-for-money pack. The latest set includes the brand new second edition of the popular 'Volume 2B: Bayesian Inference', along with the sixth editions of 'Volume 1: Distribution Theory' and 'Volume 2A: Classical Inference and the Linear Model'.

Shape and Shape Theory

Shape and Shape Theory
Author: D. G. Kendall
Publisher: John Wiley & Sons
Total Pages: 318
Release: 2009-09-25
Genre: Mathematics
ISBN: 0470317841

Shape and Shape Theory D. G. Kendall Churchill College, University of Cambridge, UK D. Barden Girton College, University of Cambridge, UK T. K. Carne King's College, University of Cambridge, UK H. Le University of Nottingham, UK The statistical theory of shape is a relatively new topic and is generating a great deal of interest and comment by statisticians, engineers and computer scientists. Mathematically, 'shape' is the geometrical information required to describe an object when location, scale and rotational effects are removed. The theory was pioneered by Professor David Kendall to solve practical problems concerning shape. This text presents an elegant account of the theory of shape that has evolved from Kendall's work. Features include: * A comprehensive account of Kendall's shape spaces * A variety of topological and geometric invariants of these spaces * Emphasis on the mathematical aspects of shape analysis * Coverage of the mathematical issues for a wide range of applications The early chapters provide all the necessary background information, including the history and applications of shape theory. The authors then go on to analyse the topic, in brilliant detail, in a variety of different shape spaces. Kendall's own procedures for visualising distributions of shapes and shape processes are covered at length. Implications from other branches of mathematics are explored, along with more advanced applications, incorporating statistics and stochastic analysis. Applied statisticians, applied mathematicians, engineers and computer scientists working and researching in the fields of archaeology, astronomy, biology, geography and physical chemistry will find this book of great benefit. The theories presented are used today in a wide range of subjects from archaeology through to physics, and will provide fascinating reading to anyone engaged in such research. Visit our web page! http://www.wiley.com/

Statistical Regression with Measurement Error

Statistical Regression with Measurement Error
Author: Chi-Lun Cheng
Publisher: Wiley
Total Pages: 0
Release: 2010-06-28
Genre: Mathematics
ISBN: 9780470711064

Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models, this book is written in the of the Kendall and Stuart Advanced Theory of Statistics set and, like that series, includes exercises at the end of the chapters. The goal is to emphasize the ideas and practical implications of the theory in a style that does not concentrate on the theorem-proof format.

Statistics of Extremes

Statistics of Extremes
Author: Jan Beirlant
Publisher: John Wiley & Sons
Total Pages: 516
Release: 2004-10-15
Genre: Mathematics
ISBN: 9780471976479

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.

Statistical Inference for Diffusion Type Processes

Statistical Inference for Diffusion Type Processes
Author: B.L.S. Prakasa Rao
Publisher: Wiley
Total Pages: 0
Release: 2010-05-24
Genre: Mathematics
ISBN: 9780470711125

Decision making in all spheres of activity involves uncertainty. If rational decisions have to be made, they have to be based on the past observations of the phenomenon in question. Data collection, model building and inference from the data collected, validation of the model and refinement of the model are the key steps or building blocks involved in any rational decision making process. Stochastic processes are widely used for model building in the social, physical, engineering, and life sciences as well as in financial economics. Statistical inference for stochastic processes is of great importance from the theoretical as well as from applications point of view in model building. During the past twenty years, there has been a large amount of progress in the study of inferential aspects for continuous as well as discrete time stochastic processes. Diffusion type processes are a large class of continuous time processes which are widely used for stochastic modelling. the book aims to bring together several methods of estimation of parameters involved in such processes when the process is observed continuously over a period of time or when sampled data is available as generally feasible.

Mathematical Statistics with Mathematica

Mathematical Statistics with Mathematica
Author: Colin Rose
Publisher: Springer
Total Pages: 508
Release: 2002
Genre: Business & Economics
ISBN: 9780387952345

This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.

Kendall's Advanced Theory of Statistics, Distribution Theory

Kendall's Advanced Theory of Statistics, Distribution Theory
Author: Alan Stuart
Publisher: John Wiley & Sons
Total Pages: 709
Release: 2010-02-22
Genre: Mathematics
ISBN: 0470665300

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kenfall's volumes, The Advanced Theory of Statistics. This landmark publication began life as a two-volume work and grew steadily as a single-authored work until the 1950s. In this edition, there is new material on skewness and kurtosis, hazard rate distribution, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. It also includes over 200 new references, 40 new exercises, and 20 further examples in the main text.

Kendall's Advanced Theory of Statistics, Set

Kendall's Advanced Theory of Statistics, Set
Author: Alan Stuart
Publisher: Wiley
Total Pages: 0
Release: 2010-08-30
Genre: Mathematics
ISBN: 9780470669549

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development of modern statistical theory is reflected in the history of the late Sir Maurice Kendall's volumes, The Advanced Theory of Statistics. This landmark publication begain life as a two-colume work and grew steadily, as a single-authored work, until the late 1950s. This volume offers a major revision including a discussion of the bivariate and multivariate versions of the standard distributions and families. Other major updated include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normal integral, and ratios of quadtraic forms.