analysis categorical data using von lindsey james (6 Ergebnisse)

24 x 16,5 cm. Zustand: Gut. Lecture Notes in Statistics ; Volume 56. V, 168 Pages.; With Figures and Tables Original Broschur. Rücken aufgehellt. Innen mit Bibliotheksstempel, Papier gebräunt, sehr sauberes Exemlar. Englische Sprache. - Original Paperback. Spine of the book faded. Inside with Library stamp, Paper bronzy, in very good condition. English Language B12-04-05C|S70 Sprache: Englisch Gewicht in Gramm: 298.

V, 168 Seiten m. graph. Darstellungen. Gr.-8vo. Kartoniert. - = Lecture Notes in Statistics, 56. Ausgeschiedenes Bibliotheksexemplar m. 2 Stempeln auf Titelblatt, Papier gebräunt, Einbanddeckel u. wenige Seiten leicht angeknickt, Einband etw. lichtrandig. 3540970290 Sprache: Deutsch Gewicht in Gramm: 600.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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Paperback. Zustand: Brand New. 1st edition. 173 pages. 9.61x6.69x0.41 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The present text is the result of teaching a third year statistical course to undergraduate social science students. Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology. This course on the analysis of contingency tables has been given with all students in front of computer terminals, and, more recently, micro computers, working interactively with GLIM. Given the importance of the analysis of categorical data using log linear models within the overall body of models known as general linear models (GLMs) treated by GLIM, this book should be of interest to anyone, in any field, concerned with such applications. It should be suitable as a manual for applied statistics courses covering this subject. I assume that the reader has already a reasonably strong foundation in statistics, and specifically in dealing with the log-linearllogistic models. I also assume that he or of GLIM itself. In she has access to the GLIM manual and to an operational version other words, this book does not pretend to present either a complete introduction to the use of GLIM or an exposition of the statistical properties of log-linearllogistic models. For the former, I would recommend Healy (1988) and Aitkin et al (1989). Por the latter, many books already exist, of which I would especially recommend that of Pingleton (1984) in the present context.