Manisha pal (8 Ergebnisse)

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general discussion on regression designs has been presented, which includes topics like continuous designs, de la Garza phenomenon, Loewner order domination, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate linear and quadratic regression models. This is followed by a review of the available literature on estimation of parameters in mixture models. Based on recent research findings, the volume also introduces optimal mixture designs for estimation of optimum mixing proportions in different mixture models, which include Scheffé's quadratic model, Darroch-Waller model, log- contrast model, mixture-amount models, random coefficient models and multi-response model. Robust mixture designs and mixture designs in blocks have been also reviewed. Moreover, some applications of mixture designs in areas like agriculture, pharmaceutics and food and beverages have been presented. Familiarity with the basic concepts of design and analysis of experiments, along with the concept of optimality criteria are desirable prerequisites for a clear understanding of the book. It is likely to be helpful to both theoreticians and practitioners working in the area of mixture experiments.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Paperback. Zustand: Brand New. 2014 edition. 200 pages. 9.00x6.00x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 159 pages. 9.25x6.10x9.21 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Dieses Buch konzentriert sich ausschließlich auf den Bereich der parametrischen Inferenz und das aus der Perspektive der Lesenden, d. h. es behandelt ausschließlich die Punktschätzung von Parameter(n). Es werden jene Themen der parametrischen Inferenz behandelt, die einer klaren und verständlichen Darstellung für Studierende, Forschende und Lehrende bedürfen; das bloße Aufzählen von Theoremen und deren Beweisen reicht oft nicht aus, um die innere Schönheit und Bedeutung bestimmter Aspekte der Inferenz zu vermitteln.Zur Gewährleistung dieser Klarheit behandelt das Buch die folgenden Themen auf fortgeschrittenem Niveau:Sequentielle (unverzerrte) Punktschätzung von p und seinen Funktionen; Verallgemeinerung auf trinomiale und tetramoniale Populationen;Einige Aspekte der Nutzung zusätzlicher Ressourcen in der Inferenz bei endlichen Populationen;Das Konzept der Suffizienz im Zusammenhang mit dem Begriff suffizienter Experimente und dem Vergleich von Experimenten;Schätzung der Größe einer endlichen Population mit besonderen Merkmalen;Unverzerrte Schätzung der Zuverlässigkeit bei exponentiellen Stichproben und in anderen Situationen.Dieses Buch bietet eine Plattform für anregende, kreative und herausfordernde Diskussionen zu verschiedenen Themen der statistischen Schätztheorie. Es eignet sich auch hervorragend für Methodenkurse in der Forschungsausbildung von Statistik-Promovierenden sowie zur Klärung grundlegender Konzepte in Themenbereichen auf Basis- und Fortgeschrittenenniveau.…