03888nam 22006375 450 991030014800332120250416053945.01-4614-8775-710.1007/978-1-4614-8775-3(CKB)3710000000078552(Springer)9781461487753(MH)013879498-7(SSID)ssj0001067977(PQKBManifestationID)11676685(PQKBTitleCode)TC0001067977(PQKBWorkID)11092013(PQKB)11036596(DE-He213)978-1-4614-8775-3(MiAaPQ)EBC3095750(PPN)176099646(EXLCZ)99371000000007855220131114d2014 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierStatistical Modeling and Computation /by Dirk P. Kroese, Joshua C.C. Chan1st ed. 2014.New York, NY :Springer New York :Imprint: Springer,2014.1 online resource (XX, 400 p. 114 illus., 8 illus. in color.)online resourceBibliographic Level Mode of Issuance: Monograph1-4614-8774-9 Includes bibliographical references and index.Probability Models -- Random Variables and Probability Distributions -- Joint Distributions -- Common Statistical Models -- Statistical Inference -- Likelihood -- Monte Carlo Sampling -- Bayesian Inference -- Generalized Linear Models -- Dependent Data Models -- State Space Models -- References -- Solutions -- MATLAB Primer -- Mathematical Supplement -- Index.This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.Mathematical statisticsData processingBiometryStatisticsStatistics and ComputingBiostatisticsStatistical Theory and MethodsMathematical statisticsData processing.Biometry.Statistics.Statistics and Computing.Biostatistics.Statistical Theory and Methods.519.5Kroese Dirk Pauthttp://id.loc.gov/vocabulary/relators/aut522154C.C. Chan Joshuaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300148003321Statistical modeling and computation1410601UNINAThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress