02106cam a2200313Ia 4500001001200000003001400012008004100026020001500067020001800082020001800100020001500118020001500133020001800148035002000166041000800186082001700194245007400211260005700285300003600342490004400378500001300422520109000435650003101525700002301556856008501579915001201664596000601676949011001682ocm54379581OCLC WorldCat040209s1996 cau obs 001 0 eng d a058549214X a9780585492148 a9780125084659 a012508465X a0080510299 a9780080510293 a(Sirsi) a321682 aeng04a519.5/3522210aLinear modelsh[E-Book] :ba mean model approach /cBarry Kurt Moser. aSan Diego :bAcademic Press,cc1996e(ScienceDirect) a1 online resource (xii, 228 p.) aProbability and mathematical statistics aenglisch aLinear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation. 0aLinear models (Statistics)1 aMoser, Barry Kurt.403ScienceDirectuhttp://www.sciencedirect.com/science/book/9780125084659zVolltext azzwFZJ3 a1 aXX(321682.1)wAUTOc1i321682-1001lELECTRONICmZBrNsYtE-BOOKu17/1/2013xUNKNOWNzUNKNOWN1ONLINE2HB