Selected Topics in Statistical Inference Theory and Applications /
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 state...
-д хадгалсан:
| Үндсэн зохиолчид: | , |
|---|---|
| Байгууллагын зохиогч: | |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Хэвлэл: | 1st ed. 2024. |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-981-97-2592-2 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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MARC
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| 100 | 1 | |a Pal, Manisha. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Selected Topics in Statistical Inference |h [electronic resource] : |b Theory and Applications / |c by Manisha Pal, Bikas K. Sinha. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XVII, 142 p. 18 illus.). |b 15 illus. in color. | ||
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| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
| 532 | 8 | |a Inaccessible, or known limited accessibility | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Econometrics. | |
| 650 | 0 | |a Sampling (Statistics). | |
| 650 | 0 | |a Probabilities. | |
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| 650 | 2 | 4 | |a Quantitative Economics. |
| 650 | 2 | 4 | |a Methodology of Data Collection and Processing. |
| 650 | 2 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a Statistical Theory and Methods. |
| 700 | 1 | |a Sinha, Bikas K. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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