03557nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001600186072002300202072001500225100008200240245013000322250001800452264007200470300006600542336002600608337002600634338003600660347002400696505033800720520130101058650002502359650002502384650003402409650002602443650002302469650003102492650003502523650005802558650003102616650003602647700008402683710003402767773002602801776003602827776003602863776003602899856004602935912001402981912001502995999001703010978-981-97-2592-2DE-He21320251030113035.0cr nn 008mamaa240911s2024    si |    s    |||| 0|eng d  a97898197259229978-981-97-2592-27 a10.1007/978-981-97-2592-22doi 4aQA276-280 7aPBT2bicssc 7aMAT0290002bisacsh 7aPBT2thema1 aPal, Manisha.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut98409210aSelected Topics in Statistical Inferenceh[electronic resource] :bTheory and Applications /cby Manisha Pal, Bikas K. Sinha.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVII, 142 p. 18 illus., 15 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aGlimpses of the Book -- Sequential Binomial Estimation -- Use of Additional Resources in Finite Population Inference -- Notion of sufficiency in statistical inference - Theory and Applications -- Estimation of the Unknown Size of a Finite Population with Special Features -- Unbiased Estimation of Reliability in Exponential Samples.  aThis book focuses exclusively on the domain of parametric inference and that, too, from a reader’s perspective, i.e., covering only point estimation of parameter(s). It covers those topics in parametric inference which need clarity of exposure to students, researchers, and teachers alike; mere statements of theorems and proofs may not always reveal the inner beauty and significance of some aspects of inference. To ensure clarity, the book discusses the following topics at an advanced level—(1) sequential (unbiased) point estimation of ‘p’ and its functions; generalization to trinomial and tetranomial populations; (2) some aspects of the use of additional resources in finite population inference; (3) the concept of sufficiency vis-à-vis the notion of sufficient experiments and comparison of experiments; (4) estimation of the size of a finite population with special features; and (5) unbiased estimation of reliability in exponential samples and other settings. This book provides a platform for thought-provoking, creative, and challenging discussions on a variety of topics in statistical estimation theory, it is also ideal for research methodology course for statistics research scholars, and for clarification of basic ideas in topics discussed at basic/advanced levels. 0aStatistics .965982 0aEconometrics.957695 0aSampling (Statistics).959805 0aProbabilities.965724 0aStatistics.96598214aApplied Statistics.96598624aQuantitative Economics.97033024aMethodology of Data Collection and Processing.96594624aProbability Theory.96742824aStatistical Theory and Methods.1 aSinha, Bikas K.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9840932 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981972591508iPrinted edition:z978981972593908iPrinted edition:z978981972594640uhttps://doi.org/10.1007/978-981-97-2592-2  aZDB-2-SMA  aZDB-2-SXMS  c63278d63278