LEADER 00000cam a2200553Mu 4500 
001    ocn908079043 
003    OCoLC 
005    20200110050819.4 
006    m     o  d         
007    cr |n||||||||| 
008    150509s2008    xx      o     000 0 eng d 
020    9781420062045|q(electronic book) 
020    1420062042|q(electronic book) 
024 7  10.1201/b11551|2doi 
035    (OCoLC)908079043 
040    EBLCP|beng|epn|cEBLCP|dOCLCQ|dYDXCP|dOCLCQ|dMERUC|dN$T
       |dOCLCF|dOCLCQ|dOCLCO|dOTZ|dTYFRS|dOCLCQ 
049    RIDW 
050  4 A279 .M659 2015 
072  7 MAT|x003000|2bisacsh 
072  7 MAT|x029000|2bisacsh 
072  7 PBT|2bicscc 
082 04 519.5 
090    A279 .M659 2015 
100 1  Monahan, John F.|0https://id.loc.gov/authorities/names/
       n83028711 
245 12 A Primer on Linear Models. 
264  1 Hoboken :|bCRC Press,|c2008. 
300    1 online resource (292 pages). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
490 1  Chapman & Hall/CRC Texts in Statistical Science 
504    Includes bibliographical references and index. 
505 0  Front cover; Contents; Preface; Chapter 1: Examples of the
       General Linear Model; Chapter 2: The Linear Least Squares 
       Problem; Chapter 3: Estimability and Least Squares 
       Estimators; Chapter 4: Gauss-Markov Model; Chapter 5. 
       Distributional Theory; Chapter 6. Statistical Inference; 
       Chapter 7. Further Topics in Testing; Chapter 8. Variance 
       Components and Mixed Models; Chapter 9. The Multivariate 
       Linear Model; Appendix A: Review of Linear Algebra; 
       Appendix B: Lagrange Multipliers; Bibliography; Back 
       cover. 
520    Preface Examples of the General Linear Model Introduction 
       One-Sample Problem Simple Linear Regression Multiple 
       Regression One-Way ANOVA First Discussion The Two-Way 
       Nested Model Two-Way Crossed Model Analysis of Covariance 
       Autoregression Discussion The Linear Least Squares Problem
       The Normal Equations The Geometry of Least Squares 
       Reparameterization Gram-Schmidt Orthonormalization 
       Estimability and Least Squares Estimators Assumptions for 
       the Linear Mean Model Confounding, Identifiability, and 
       Estimability Estimability and Least Squares Estimators F. 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Linear models (Statistics)|0https://id.loc.gov/authorities
       /subjects/sh85077177 
650  7 Linear models (Statistics)|2fast|0https://id.worldcat.org/
       fast/999084 
655  4 Electronic books. 
776 08 |iPrint version:|aMonahan, John F.|tA Primer on Linear 
       Models.|dHoboken : CRC Press, ©2008|z9781420062014 
830  0 Chapman & Hall/CRC Texts in Statistical Science. 
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=1763574|zOnline eBook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this eBook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20200122|cEBSCO|tEBSCOebooksacademic NEW 12-21,1-17 
       11948|lridw 
994    92|bRID