03579nam 22005895 450 991030345250332120250610110407.09781493988532149398853010.1007/978-1-4939-8853-2(CKB)4100000007204971(MiAaPQ)EBC5614862(DE-He213)978-1-4939-8853-2(PPN)232961212(MiAaPQ)EBC29092407(EXLCZ)99410000000720497120181212d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSemiparametric Regression with R /by Jaroslaw Harezlak, David Ruppert, Matt P. Wand1st ed. 2018.New York, NY :Springer New York :Imprint: Springer,2018.1 online resource (341 pages)Use R!,2197-57449781493988518 1493988514 Introduction -- Penalized Splines -- Generalized Additive Models -- Semiparametric Regression Analysis of Grouped Data -- Bivariate Function Extensions -- Selection of Additional Topics.-Index.This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression in a concise and user-friendly fashion. Fifteen years later, semiparametric regression is applied widely, powerful new methodology is continually being developed, and advances in the R computing environment make it easier than ever before to carry out analyses. Semiparametric Regression with R introduces the basic concepts of semiparametric regression with a focus on applications and R software. This volume features case studies from environmental, economic, financial, and other fields. The examples and corresponding code can be used or adapted to apply semiparametric regression to a wide range of problems. It contains more than fifty exercises, and the accompanying HRW package contains all datasets and scripts used in the book, as well as some useful R functions. This book is suitable as a textbook for advanced undergraduates and graduate students, as well as a guide for statistically-oriented practitioners, and could be used in conjunction with Semiparametric Regression. Readers are assumed to have a basic knowledge of R and some exposure to linear models. For the underpinning principles, calculus-based probability, statistics, and linear algebra are desirable.Use R!,2197-5744StatisticsBiometryStatisticsStatistical Theory and MethodsBiostatisticsStatistics in Business, Management, Economics, Finance, InsuranceStatistics.Biometry.Statistics.Statistical Theory and Methods.Biostatistics.Statistics in Business, Management, Economics, Finance, Insurance.519.536Harezlak Jaroslawauthttp://id.loc.gov/vocabulary/relators/aut767954Ruppert Davidauthttp://id.loc.gov/vocabulary/relators/autWand Matt Pauthttp://id.loc.gov/vocabulary/relators/autBOOK9910303452503321Semiparametric Regression with R1983086UNINA02137nam 2200433z- 450 9910490716403321202107093-0355-1625-1(CKB)5590000000533408(oapen)https://directory.doabooks.org/handle/20.500.12854/71097(oapen)doab71097(EXLCZ)99559000000053340820202107d2020 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierAneignen in einer historischen AusstellungEine Bestandsaufnahme von Elementen historischen Denkens bei Besuchenden der Ausstellung "14/18 - Die Schweiz und der Grosse Krieg"Bernhep Verlag20201 online resource3-0355-1626-X Was denken Museumsbesuchende beim Besuch einer historischen Ausstellung und welche Bezüge stellen sie dabei zu ihrer eigenen Person und Gegenwart her? Mithilfe prozessbegleitenden Lauten Denkens während des Ausstellungsbesuchs wurden Aneignungsweisen von 18 erwachsenen Besuchenden der Ausstellung "14/18. Die Schweiz und der Grosse Krieg" beobachtet und mittels inhaltlich-strukturierender qualitativer Inhaltsanalyse systematisiert und strukturiert. Die geschichtsdidaktische Studie erhellt auf diese Weise Umgangsweisen von Erwachsenen mit einer geschichtskulturellen Manifestation und bietet Einblicke in das Zusammenspiel von Ausstellung, erzählter Geschichte und individuellen Perspektiven der Besuchenden.Aneignen in einer historischen AusstellungSociety & social sciencesbicsscAneignenGeschichtsdidaktikGeschichtskulturhistorische Ausstellunghistorisches Denkenlautes DenkenMuseumsbesuchendequalitative InhaltsanalyseSociety & social sciencesThyroff Juliaauth1279344BOOK9910490716403321Aneignen in einer historischen Ausstellung3015125UNINA