01382cam2-2200385---450-99000181262020331620111025161036.0000181262USA01000181262(ALEPH)000181262USA0100018126220040702d1964----km-y0itay50------bagerDEy|||||||001yy<<12. Band:>> Zur preussischen GeschichteSchleiermachers politische Gesinnung und Wirksamkeit, Die Reorganisatoren des preussischen Staates, Das allgemeine LandrechtWilhelm Dilthey3. unveränderte AuflStuttgartTeubnerGöttingenVandenhoeck & Ruprecht1964X, 213 p.25 cm0010001515742001Gesammelte SchriftenDILTHEY,Wilhelm33995ITsalbcISBD990001812620203316II.1.D. 799/12(IV A 511/12)23756 L.M.II.1.00017499BKUMASIAV31020040702USA010917SIAV31020040702USA010923SIAV31020040702USA010925COPAT49020050606USA011619COPAT29020050705USA011446ANNAMARIA9020111025USA011610ANNAMARIA9020111110USA011056Zur preussischen Geschichte105501UNISA02954nam 22005415 450 991034934710332120250327104104.09781493997619149399761010.1007/978-1-4939-9761-9(CKB)4100000008878186(DE-He213)978-1-4939-9761-9(MiAaPQ)EBC5920909(PPN)258303875(MiAaPQ)EBC31886112(Au-PeEL)EBL31886112(OCoLC)1114289052(EXLCZ)99410000000887818620190801d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierA Graduate Course on Statistical Inference /by Bing Li, G. Jogesh Babu1st ed. 2019.New York, NY :Springer New York :Imprint: Springer,2019.1 online resource (XII, 379 p. 148 illus.) Springer Texts in Statistics,2197-41369781493997596 1493997599 1. Probability and Random Variables -- 2. Classical Theory of Estimation -- 3. Testing Hypotheses in the Presence of Nuisance Parameters -- 4. Testing Hypotheses in the Presence of Nuisance Parameters -- 5. Basic Ideas of Bayesian Methods -- 6. Bayesian Inference -- 7. Asymptotic Tools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index.This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.Springer Texts in Statistics,2197-4136StatisticsStatistical Theory and MethodsStatistics.Statistical Theory and Methods.519.5Li Bingauthttp://id.loc.gov/vocabulary/relators/aut767294Babu G. Jogeshauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349347103321A Graduate Course on Statistical Inference2546597UNINA