Books in Statistics and probability

Asymptotic Methods in Probability and Statistics

1st Edition
October 29, 1998
B. Szyszkowicz
English
eBook
9 7 8 0 0 8 0 4 9 9 5 2 9

One of the aims of the conference on which this book is based, was to provide a platform for the exchange of recent findings and new ideas inspired by the so-called Hungarian construction and other approximate methodologies. This volume of 55 papers is dedicated to Miklós Csörgő a co-founder of the Hungarian construction school by the invited speakers and contributors to ICAMPS'97.This excellent treatize reflects the many developments in this field, while pointing to new directions to be explored. An unequalled contribution to research in probability and statistics.

Regression Analysis for Social Sciences

1st Edition
June 25, 1998
Alexander von Eye + 1 more
English
eBook
9 7 8 0 0 8 0 5 5 0 8 2 4

Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.

Visualization of Categorical Data

1st Edition
February 9, 1998
Jörg Blasius + 1 more
English
eBook
9 7 8 0 0 8 0 5 4 3 6 2 8

A unique and timely monograph, Visualization of Categorical Data contains a useful balance of theoretical and practical material on this important new area. Top researchers in the field present the books four main topics: visualization, correspondence analysis, biplots and multidimensional scaling, and contingency table models.This volume discusses how surveys, which are employed in many different research areas, generate categorical data. It will be of great interest to anyone involved in collecting or analyzing categorical data.

Experimental Design Techniques in Statistical Practice

1st Edition
January 1, 1998
William P Gardiner + 1 more
English
eBook
9 7 8 0 8 5 7 0 9 9 7 8 5

Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry.

Categorical Variables in Developmental Research

1st Edition
January 19, 1996
Alexander von Eye + 1 more
English
eBook
9 7 8 0 0 8 0 5 2 8 7 1 7

Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data.

Techniques in Discrete-Time Stochastic Control Systems

1st Edition
Volume 73
September 25, 1995
Cornelius T. Leondes
English
eBook
9 7 8 0 0 8 0 5 2 9 8 9 9

Praise for Previous Volumes"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."-IEEE GROUP CORRESPONDANCE"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."-CONTROL

The Spectral Analysis of Time Series

1st Edition
May 18, 1995
Lambert H. Koopmans
English
eBook
9 7 8 0 0 8 0 5 4 1 5 6 3

To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results.The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications.T... covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction.

Probability - Modular Mathematics Series

1st Edition
May 17, 1995
John McColl
English
Paperback
9 7 8 0 3 4 0 6 1 4 2 6 6

Probability is relevant to so many different subject areas that its importance as a mathematical technique cannot be underestimated. This book provides a comprehensive, user-friendly introduction to the subject. The step-by-step approach taken by the author allows students to develop knowledge at their own pace and, by working through the numerous exercises, they are ensured a full understanding of the material before moving on to more advanced sections. Traditional examples of probablistic theory, such as coins and dice, are included but the author has also used many exercises based on real-life problems. The result is an introduction to probability that avoids the overly confusing, theoretical approach often adopted in this area, and provides a simple and concise text that will be invaluable to all studying first and second year courses on the subject.

Statistical Methods in the Atmospheric Sciences

1st Edition
Volume 59
March 1, 1995
Daniel S. Wilks
English
eBook
9 7 8 0 0 8 0 5 4 1 7 2 3

This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth.

Handbook of Econometrics

1st Edition
Volume 4
December 13, 1994
Robert Engle + 1 more
English
Hardback
9 7 8 0 4 4 4 8 8 7 6 6 5

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Probability theory and stochastic processes

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