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*008140120s2014    xxua   | b   |0|1|0|eng|c
*020  $a978-1-118-38608-8$c105,65$qsidottu
*035  $a(FI-MELINDA)006573645
*0410 $aeng
*072 7$a04.2$2kkaa
*080  $a519.237
*084  $a62J05$2msc
*084  $a51$2uef
*1001 $aWeisberg, Sanford,$ekirjoittaja.
*24510$aApplied linear regression /$cSanford Weisberg.
*250  $aFourth edition.
*260  $aHoboken, New Jersey$bWiley$c2014
*264 1$aHoboken, NJ :$bWiley,$ccop. 2014.
*300  $a340 s. :$bkuvitettu ;$c25 cm
*336  $ateksti$btxt$2rdacontent
*337  $akäytettävissä ilman laitetta$bn$2rdamedia
*338  $anide$bnc$2rdacarrier
*4901 $aWiley series in probability and statistics
*500  $aMat.-Luonnont. tdk
*500  $aMAT22009 Lineaariset mallit II
*504  $aSisältää bibliografisia lähdeviitteitä (s. 317-328) ja hakemistoja.
*504  $aSisältää bibliografisia lähdeviitteitä (sivut 317-328) ja hakemistoja.
*520  $a"Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"--$cProvided by publisher.
*530  $aJulkaistu myös verkkoaineistona.
*650 0$aRegression analysis.
*650 7$aregressioanalyysi$2yso/fin$0http://www.yso.fi/onto/yso/p2130
*650 7$aregressionsanalys$2yso/swe$0http://www.yso.fi/onto/yso/p2130
*77608$iVerkkoaineisto:$z9781118789551
*830 0$aWiley series in probability and statistics.
*85642$3Cover image$uhttp://catalogimages.wiley.com/images/db/jimages/9781118386088.jpg
^

Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..." —International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition,Applied Linear Regression, Fourth Edition features: Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics Newly added material on topics including testing, ANOVA, and variance assumptions Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.