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Books in Statistics and probability

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191-200 of 233 results in All results

Probability and Measure Theory

  • 2nd Edition
  • November 15, 1999
  • Robert B. Ash + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 0 6 5 2 0 2 - 0
Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion.

Kohonen Maps

  • 1st Edition
  • July 2, 1999
  • E. Oja + 1 more
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 3 5 2 9 - 6
The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It was one of the strong underlying factors in the popularity of neural networks starting in the early 80's. Currently this method has been included in a large number of commercial and public domain software packages. In this book, top experts on the SOM method take a look at the state of the art and the future of this computing paradigm.The 30 chapters of this book cover the current status of SOM theory, such as connections of SOM to clustering, classification, probabilistic models, and energy functions. Many applications of the SOM are given, with data mining and exploratory data analysis the central topic, applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are also discussed.

Theory of Rank Tests

  • 2nd Edition
  • March 29, 1999
  • Zbynek Sidak + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 6 4 2 3 5 0 - 1
  • eBook
    9 7 8 - 0 - 0 8 - 0 5 1 9 1 0 - 4
The first edition of Theory of Rank Tests (1967) has been the precursor to a unified and theoretically motivated treatise of the basic theory of tests based on ranks of the sample observations. For more than 25 years, it helped raise a generation of statisticians in cultivating their theoretical research in this fertile area, as well as in using these tools in their application oriented research. The present edition not only aims to revive this classical text by updating the findings but also by incorporating several other important areas which were either not properly developed before 1965 or have gone through an evolutionary development during the past 30 years. This edition therefore aims to fulfill the needs of academic as well as professional statisticians who want to pursue nonparametrics in their academic projects, consultation, and applied research works.

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.

An Introduction to Time Series Analysis and Forecasting

  • 1st Edition
  • April 9, 1996
  • Robert Alan Yaffee + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 7 6 7 8 7 0 - 2
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 7 8 7 0 - 8
Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. The careful linkage of the theoretical constructs with the practical considerations involved in utilizing the statistical packages makes it easy for the user to properly apply these techniques.

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

Related subjects

Probability theory and stochastic processes

Statistics