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Chapman & Hall/CRC Monographs on Statistics and Applied Probability


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Local Polynomial Modelling and Its Applications Monographs on Statistics and Applied Probability 66

Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66

1st Edition

By Jianqing Fan, Irene Gijbels
March 01, 1996

Data-analytic approaches to regression problems, arising from many scientific disciplines are described in this book. The aim of these nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the data well. The...

Cyclic and Computer Generated Designs

Cyclic and Computer Generated Designs

2nd Edition

By J.A. John, E.R. Williams
September 01, 1995

Cyclic and Computer Generated Designs is a much-expanded and updated version of the well-received monograph, Cyclic Designs . The book is primarily concerned with the construction and analysis of designs with a number of different blocking structures, such as revolvable designs, row-column designs,...

Nonlinear Models for Repeated Measurement Data

Nonlinear Models for Repeated Measurement Data

1st Edition

By Marie Davidian, David .M. Giltinan
June 01, 1995

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified ...

Distribution-Free Statistical Methods, Second Edition

Distribution-Free Statistical Methods, Second Edition

2nd Edition

By J. S. Maritz
April 01, 1995

Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research.This new edition is aimed at senior undergraduate and graduate level. It ...

Kernel Smoothing

Kernel Smoothing

1st Edition

By M.P. Wand, M.C. Jones
December 01, 1994

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local averaging or smoothing is performed with respect to a kernel function. This book provides uninitiated readers with a feeling for the principles, applications, and ...

Statistics for Long-Memory Processes

Statistics for Long-Memory Processes

1st Edition

By Jan Beran
October 01, 1994

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range dependence. Presenting material that previously appeared only in journals, the author provides a concise and effective overview of probabilistic foundations, ...

An Introduction to the Bootstrap

An Introduction to the Bootstrap

1st Edition

By Bradley Efron, R.J. Tibshirani
May 15, 1994

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as...

Inference and Asymptotics

Inference and Asymptotics

1st Edition

By O.E. Barndorff-Nielsen, D.R. Cox
March 01, 1994

This book provides a systematic account of some developments in asymptotic parametric inference from a likelihood-based perspective. It focuses on first-order asymptotic theory, and discusses the need for higher-order theory....

Practical Risk Theory for Actuaries

Practical Risk Theory for Actuaries

1st Edition

By C.D. Daykin, T. Pentikainen, Martti Pesonen
December 01, 1993

This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book Risk Theory, but features more emphasis on simulation and modeling and on the use of risk theory as a practical tool. Practical Risk Theory is a textbook for ...

Markov Models & Optimization

Markov Models & Optimization

1st Edition

By M.H.A. Davis
August 01, 1993

This book presents a radically new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This approach is based on the use of a family of Markov processes called Piecewise-Deterministic Processes (PDPs) as a general class of stochastic system ...

Predictive Inference

Predictive Inference

1st Edition

By Seymour Geisser
June 01, 1993

The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction ...

Nonparametric Regression and Generalized Linear Models A roughness penalty approach

Nonparametric Regression and Generalized Linear Models: A roughness penalty approach

1st Edition

By P.J. Green, Bernard. W. Silverman
May 01, 1993

In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This monograph concentrates on the roughness penalty method and shows how this technique provides a unifying approach to a wide range of smoothing problems. The method...

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