Jim Grayson - Building Better Models with JMP Pro
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- Book:Building Better Models with JMP Pro
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BuildingBetterModelswithJMPPro
JimGraysonSamGardnerMiaL.Stephens
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Thecorrectbibliographiccitationforthismanualisasfollows:Grayson,Jim,Gardner,Sam,andStephens, Mia.2015. BuildingBetterModelswithJMPPro.Cary,NC:SASInstituteInc.
BuildingBetterModelswithJMPPro
Copyright2015,SASInstituteInc.,Cary,NC,USA
ISBN978-1-62959-056-1(Hardcopy)
ISBN978-1-62959-956-4(EPUB)
ISBN978-1-62959-957-1(MOBI)
ISBN978-1-62959-958-8(PDF)
Allrightsreserved.ProducedintheUnitedStatesofAmerica.
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Contents
Acknowledgments
Dedication
Toallthepeoplewhohavepatientlyencouragedandsupportedmethrough thisproject,especiallymywifeandchildren.
SG
ToMichael,Muffin,andBubbathanksforyourpatienceandsupport!
MS
Tomyparents,JohnandBeverly,andmywife,Cindymygreatencouragers.
JG
Acknowledgments
Wewishtoexpressourgratitudetothereviewerswhoprovidedmanyhelpful suggestions.Thisbookismuchbetterbecauseofyourcontributions.
Thanksto:
MicheleBoulanger
MichaelCrotty
GoutamChakraborty
WilliamDuckworth
SuneelGrover
DuaneHayes
MattLiberatore
RobertNydick
DanObermiller
SueWalsh
AboutThisBook
Purpose
Thisbookisdesignedforthestudentwantingtopreparefortheirprofessional careerwhorecognizestheneedforunderstandingofboththemechanicsand theconceptsofpredominantanalyticmodelingtoolsandalsohowtoapply methodsinsolvingreal-worldbusinessproblems.Thisbookisalsodesigned tomeettheneedsofthepractitionerwhowantstoobtainahands-on understandingofbusinessanalyticstomakebetterdecisionsfromdataand modelsandtoapplytheseconceptsandtoolstobusinessanalyticsprojects.
IsThisBookforYou?
Thisbookisforyouifyouwanttoexploretheuseofanalyticsformaking betterbusinessdecisions,andhaveeitherbeenintimidatedbybooksthat focusonthetechnicaldetailsordiscouragedbybooksthatprimarilyfocuson thehighlevelimportanceofusingdatawithoutgettingtothehowtoofthe methodsandanalysis.
Prerequisites
Whilenotrequired,itwouldbeveryhelpfulifthereaderhastakenabasic courseinstatistics.Experiencewiththebooksoftware,JMPPro,isnot required.
ScopeofThisBook
Thisbookisnotanintroductorystatisticsbook.Whileweprovidean introductiontobasicdataanalysis,datavisualizationandanalyzing multivariatedata,forthemostpart,thestatisticaldetailsandbackground informationarenotprovided.Thisbookisalsonotahighlytechnicalbook thatdivesdeeplyintothetheoryoralgorithms,butitwillprovideinsightinto theblackboxofthemethodscovered.
Thisbookwillcoveranalytictopicsincluding:
Regression
Logisticregression
Classificationandregressiontrees
Neuralnetworks
Modelcross-validation
Itwillalsoprovideanintroductiontosomeadvancedmodelingtechniques (boosting,bagging,andregularization)inanexampledrivenstructure.
AbouttheExamples
SoftwareUsedtoDeveloptheBooksContent
JMPPro12isthesoftwareusedthroughoutthisbook.
ExampleCodeandData
Youcanaccesstheexamplecodeanddataforthisbookbylinkingtoits authorpageathttp://support.sas.com/publishing/authors.Selectthenameof theauthor.Then,lookforthecoverthumbnailofthisbook,andselect ExampleCodeandDatatodisplaytheSASprogramsthatareincludedinthis book.
Someresources,suchasinstructorresourcesandadd-insusedinthebook, willbepostedontheJMPcommunityfileexchange(community.jmp.com).
Foranalphabeticallistingofallbooksforwhichexamplecodeanddatais available,seehttp://support.sas.com/bookcode.Selectatitletodisplaythe booksexamplecode.
IfyouareunabletoaccessthecodethroughtheWebsite,sende-mailto
.
ExerciseSolutions
Westronglybelievethatforthereadertoobtainmaximumbenefitfromthis booktheyshouldplayalongandcompletetheexamplesdemonstratedin eachchapter.Also,attheendofeachchapteraresuggestedexercisesto practicewhathasbeendiscussedinthechapter.
AdditionalHelp
Althoughthisbookillustratesmanyanalysesregularlyperformedin businessesacrossindustries,questionsspecifictoyouraimsandissuesmay arise.Tofullysupportyou,SASInstituteandSASPressofferyouthe followinghelpresources:
Forquestionsabouttopicscoveredinthisbook,contacttheauthor throughSASPress:
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Forquestionsabouttopicsinorbeyondthescopeofthisbook,post queriestotherelevantSASSupportCommunitiesat
https://communities.sas.com/welcome.
SASInstitutemaintainsacomprehensivewebsitewithup-to-date information.Onepagethatisparticularlyusefultoboththenoviceand theseasonedSASuserisitsKnowledgeBase.Searchforrelevantnotes intheSamplesandSASNotessectionoftheKnowledgeBaseat
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RegisteredSASusersortheirorganizationscanaccessSASCustomer Supportathttp://support.sas.com. Hereyoucanposespecificquestions toSASCustomerSupport;under Support,click SubmitaProblem.You willneedtoprovideanemailaddresstowhichrepliescanbesent, identifyyourorganization,andprovideacustomersitenumberor licenseinformation.ThisinformationcanbefoundinyourSASlogs.
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