paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Lingua: Inglese
Editore: Lawrence Erlbaum Associates, New Jersey, U.S.A., 1991
ISBN 10: 0805806881 ISBN 13: 9780805806885
Da: The Bookshop at Beech Cottage, Newbury, Regno Unito
Prima edizione
EUR 23,86
Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: Very Good. No Jacket. 1st Edition. 159pp + ix prelims. VG/no jacket. Mauve coloured thin card covers with purple lettering on face and spine. Previous owner's sig on first title page. Appears hardly read.
EUR 41,84
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Very Good. THERE ARE NO TARIFFS OR CUSTOMS DUTIES ON BOOKS. This book presents in compact form a framework based in probability theory and the general linear model family for students and researchers using regression and analysis of variance methods. Special emphasis is placed on problems of properly using statistical computer programs. The relation between regression and analysis of variance is developed by means of the theory of linear contrasts for the benefit of students and users not versed in matrix algebra. Much attention is given to choosing proper error estimates, calculating proper estimates of standard errors in a variety of designs, and dealing with the problems of unbalanced designs. Having taught research design and quantitative methods in psychology for many years, Estes has developed ways of simplifying the presentation of concepts and derivations so as to make the substance of important statistical results available to students and investigators who lack much mathematical background and/or much taste for doing derivations. Designed to supplement standard texts used in graduate courses in intermediate and advanced statistics, research methods, and experimental design for psychologists or other behavioral scientists, this text also has something to offer experienced investigators: material on model testing and related topics not covered in textbooks or other readily available sources.