INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781848829688 (pbk.)
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-53778
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Regression
General Material Designation
[Book]
Other Title Information
:linear models in statistics
First Statement of Responsibility
/ N.H. Bingham, John M. Fry
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London ;New York
Name of Publisher, Distributor, etc.
: Springer,
Date of Publication, Distribution, etc.
, c2010.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiii, 284 p. , ill. , 24 cm.
SERIES
Series Title
(Springer undergraduate mathematics series,1615-2085)
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Electronic
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
"The Springer Undergraduate Mathematics Series (SUMS) is designed for undergraduates in the mathematical sciences. From core foundational material to final year topics, SUMS books take a fresh and modern approach and are ideal for self-study or for a one-or two-semester course. Each book includes numerous examples, problems and fully-worked solutions. N. H. Bingham. John M. Fry Regression" "Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two-or higher-dimensional, thus an understanding of Statistics in one dimension is essential." "Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions." "The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments." "Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and Standard Linear Algebra. Possible companions include John Haigh's Probability Models, and T. S. Blyth & E. F. Robertsons' Basic Linear Algebra and Further Linear Algebra."--BOOK JACKET.
Text of Note
Linear regression -- The Analysis of Variance (ANOVA) -- Multiple regression -- Further multilinear regression -- Adding additional covariates and the Analysis of Covariance -- Linear hypotheses -- Model checking and transformation of data -- Generalised linear models -- Other topics -- Solutions -- Dramatis personae : who did what when.
SERIES
Title
Springer undergraduate mathematics series
TOPICAL NAME USED AS SUBJECT
Regression analysis
Lineares Regressionsmodell., swd
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Bingham, N. H.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Fry, John M.(John Michael),1980-
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781848829688.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781848829688.pdf
Electronic Format Type
متن
old catalog
e
BL
1
a
Y
