Statistical Design for Research

Name: Statistical Design for Research
Price: 7.45 USD
Availability: InStock
ISBN: 9780471083597

ISBN-10: 0471083593

ISBN-13: 9780471083597

Edition: 99th 1987

Authors: J. Leslie Kish

List price: $158.00

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Book details

List price: $158.00
Edition: 99th
Copyright year: 1987
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/11/1987
Binding: Hardcover
Pages: 296
Size: 6.50" wide x 9.25" long x 1.00" tall
Weight: 1.232
Language: English



Statistical Analysis with Missing Data



Acknowledged experts on the subject bring together diverse sources on methods for statistical analysis of data sets with missing values


A pervasive problem for which standard methods are of limited value


Blending theory and application, it reviews historical approaches to the subject


And rigorous yet simple methods for multivariate analysis with missing values


Goes on to provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism. 1987 0 471-80254-9 275 pp


Multiple Imputation for Nonresponse in Surveys



Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations


Clearly illustrates the advantages of modern computing in handling such surveys


And demonstrates the benefit of this statistical technique for researchers who must analyze them


Also presents the background for Bayesian and frequentist theory


Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modem statistics. 1987 0 471-08705-X 250 pp


Measurement Error Models



The first complete treatment of the theory and applications for measurement error problems (measurement of errors in collected data)


Recent results for nonlinear models and for models with unequal variances are presented


The estimation of true values for the fixed models and prediction of true values under the random model are discussed


And models checks and the analysis of residuals are treated


Includes real-data examples along with twenty different data sets. 1987 0 471-86187-1 450 pp