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Regression (Record no. 23329)

000 -LEADER
fixed length control field 03000nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151450.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100917s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781848829695
978-1-84882-969-5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number T57-57.97
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2010.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bingham, N. H.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Regression
Medium [electronic resource] :
Remainder of title Linear Models in Statistics /
Statement of responsibility, etc by N. H. Bingham, John M. Fry.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 284p. 50 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Undergraduate Mathematics Series,
International Standard Serial Number 1615-2085
505 0# - FORMATTED CONTENTS NOTE
Formatted contents 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Applications of Mathematics.
Topical term or geographic name as entry element Statistical Theory and Methods.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fry, John M.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781848829688
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84882-969-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-10AUM Main Library2014-04-10 2014-04-10 E-Book   AUM Main Library519