AppliedLinearRegression(WileySeriesinProbabilityandStatistics)

MasterlinearregressiontechniqueswithaneweditionofaclassictextReviewsoftheSecondEdition:"Ifounditenjoyablereadingandsofullofinterestingmaterialthateventhewell-informedreaderwillprobablyfindsomethingnew...anecessityforallofthosewhodolinearregression."—Technometrics,February1987"Overall,Ifeelthatthebookisavaluableadditiontothenowconsiderablelistoftextsonappliedlinearregression.Itshouldbeastrongcontenderastheleadingtextforafirstseriouscourseinregressionanalysis."—AmericanScientist,May–June1987AppliedLinearRegression,ThirdEditionhasbeenthoroughlyupdatedtohelpstudentsmasterthetheoryandapplicationsoflinearregressionmodeling.Focusingonmodelbuilding,assessingfitandreliability,anddrawingconclusions,thetextdemonstrateshowtodevelopestimation,confidence,andtestingproceduresprimarilythroughtheuseofleastsquaresregression.Tofacilitatequicklearning,theThirdEditionstressestheuseofgraphicalmethodsinanefforttofindappropriatemodelsandtobetterunderstandthem.Inthatspirit,mostanalysesandhomeworkproblemsusegraphsforthediscoveryofstructureaswellasforthesummarizationofresults.TheThirdEditionincorporatesnewmaterialreflectingthelatestadvances,including:UseofsmootherstosummarizeascatterplotBox-CoxandgraphicalmethodsforselectingtransformationsUseofthedeltamethodforinferenceaboutcomplexcombinationsofparametersComputationallyintensivemethodsandsimulation,includingthebootstrapmethodExpandedchaptersonnonlinearandlogisticregressionCompletelyrevisedchaptersonmultipleregression,diagnostics,andgeneralizationsofregressionReaderswillalsofindhelpfulpedagogicaltoolsandlearningaids,including:Morethan100exercises,mostbasedoninterestingreal-worlddataWebprimersdemonstratinghowtousestandardstatisticalpackages,includingR,S-Plus®,SPSS®,SAS®,andJMP®,toworkalltheexamplesandexercisesinthetextAfreeonlinelibraryforRandS-PlusthatmakesthemethodsdiscussedinthebookeasytouseWithitsfocusongraphicalmethodsandanalysis,coupledwithmanypracticalexamplesandexercises,thisisanexcellenttextbookforupper-levelundergraduatesandgraduatestudents,whowillquicklylearnhowtouselinearregressionanalysistechniquestosolveandgaininsightintoreal-lifeproblems.