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121-130 of 145 results in All results

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.

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.

The Spectral Analysis of Time Series

  • 1st Edition
  • May 8, 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.Topics 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.

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

Statistical Data Analysis for Ocean and Atmospheric Sciences

  • 1st Edition
  • November 7, 1994
  • H. Jean Thiebaux
  • English
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 2 6 2 9 - 2
Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists will find this book of great value as a statistical tool for their continuing studies.