03769nam a22005775i 4500 978-981-97-2592-2 DE-He213 20251030113035.0 cr nn 008mamaa 240911s2024 si | s |||| 0|eng d 9789819725922 978-981-97-2592-2 10.1007/978-981-97-2592-2 doi QA276-280 PBT bicssc MAT029000 bisacsh PBT thema Pal, Manisha. author. aut http://id.loc.gov/vocabulary/relators/aut 84092 Selected Topics in Statistical Inference [electronic resource] : Theory and Applications / by Manisha Pal, Bikas K. Sinha. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVII, 142 p. 18 illus., 15 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Glimpses 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. This 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. Statistics . 65982 Econometrics. 57695 Sampling (Statistics). 59805 Probabilities. 65724 Statistics. 65982 Applied Statistics. 65986 Quantitative Economics. 70330 Methodology of Data Collection and Processing. 65946 Probability Theory. 67428 Statistical Theory and Methods. Sinha, Bikas K. author. aut http://id.loc.gov/vocabulary/relators/aut 84093 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819725915 Printed edition: 9789819725939 Printed edition: 9789819725946 https://doi.org/10.1007/978-981-97-2592-2 ZDB-2-SMA ZDB-2-SXMS 63278 63278