02954nam 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 Inference2546597UNINA02241nam 2200661 a 450 991096617550332120240514061341.01-283-35903-0978661335903290-272-7931-4(CKB)2550000000073991(EBL)805790(OCoLC)769342198(SSID)ssj0000993883(PQKBManifestationID)11522159(PQKBTitleCode)TC0000993883(PQKBWorkID)10956974(PQKB)10369704(MiAaPQ)EBC805790(Au-PeEL)EBL805790(CaPaEBR)ebr10517161(DE-B1597)719434(DE-B1597)9789027279316(EXLCZ)99255000000007399119860919d1986 uy 0engur|n|---|||||txtccrFrom logic to rhetoric /Michel Meyer1st ed.Amsterdam ;Philadelphia J. Benjamins19861 online resource (157 p.)Pragmatics & beyond,0166-6258 ;7:3Description based upon print version of record.90-272-2553-2 Includes bibliographical references.pt. 1. Logic and language -- pt. 2. Language and context.What is language, and how has it been conceived since Frege? How did the development of thought about language lead to a renewed interest in rhetoric in the twentieth century and ultimately to the 'problematological synthesis'? These are the main questions treated in this book. A constant intertwining of historical and topical viewpoints characterizes the author's approach.Pragmatics & beyond ;7:3.Language and logicSemioticsRhetoricQuestion (Logic)Language and logic.Semiotics.Rhetoric.Question (Logic)401Meyer Michel1950-58789MiAaPQMiAaPQMiAaPQBOOK9910966175503321From logic to rhetoric4374243UNINA