FITTING EQUATIONS TO DATA. Computer Analysis of Multifactor Data

Daniel, Cuthbert; Wood, Fred S.

ISBN 10: 0471053708 / ISBN 13: 9780471053705

Edité par John Wiley & Sons, 1979

A propos de cet article

John Wiley & Sons, 1979, 2nd edition, reprint9. Hardback, 8vo, xx,458pp. Owner name, no d/j. A good copy. 0471053708/0.8us . (Please note that our condition gradings are stricter than those of Abebooks and many other sellers. There may therefore be a discrepancy between this description and its listed condition grading). N° de réf. du vendeur 369494

Détails bibliographiques

Titre : FITTING EQUATIONS TO DATA. Computer Analysis...

Éditeur : John Wiley & Sons

Date d'édition : 1979

Reliure : Hardcover

Etat : Very Good

Etat de la jaquette : No jacket

Edition : 2ème Édition

A propos de ce titre

Synopsis :

Book by Daniel Cuthbert Wood Fred S

Quatrième de couverture:

Other volumes in the Wiley Series in Probability and Mathematical Statistics Applications of Statistics to Industrial Experimentation Cuthbert Daniel Here is a lucid examination of statistical aids and the planning, analysis, and interpretation of industrial experiments. The author scrutinizes the design of multifactor experiments and the methodology, employed in data analysis, with particular focus on time and budget restrictions, and nearness to final decision on marketability. Valuable to experimenters who have some knowledge of elementary statistics, and to statisticians who seek simple explanations, detailed examples, and documentation of the many results that can be expected. 1976 294 pp. Methods for Statistical Data Analysis of Multivariate Observations R. Gnanadesikan Brings together a variety of statistical techniques used and needed in the problems of multivariate data analysis. Concentrates on methods of analysis and the conceptual underpinnings, rather than on statistical theory. The book provides five general objectives for analyzing multivariate data: (1) reduction of dimensionality, (2) development and study of multivariate dependencies, (3) classification and clustering, (4) assessment of specific aspects of models, and (5) summarization and exposure. The author uses several examples of both computer–simulated and real data throughout the book to illustrate the techniques, 1977 311 pp. Introduction to Statistical Time Series Wayne A. Fuller Provides an introduction to representations for statistical time series and the estimation of time series models. Developing both the time and frequency domain approaches, the book concentrates on univariate time series and also discusses vector time series. " well organized, well written, and fairly easy to follow [with] many illustrative worked numerical examples throughout the text as well as a selected bibliography and a useful index. A valuable addition to the market. Recommended for all universities with graduate programs in statistics and economics." Choice 1976 470 pp.