Sinha bikas kumar (94 résultats)

Hardcover. Etat : Very Good. 1st Edition. No marks in text. Not a library book. Ships today in a cardboard enclosure. Thanks, from Tim's Used Books, providers of good books at fair prices on the same spot (Provincetown USA) since 1991. Signed by Author(s).

Aufl. 2015. 235 mm x 155 mm. XVII, 221 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. …

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : New.

Etat : New.

Etat : New. pp. 200.

Etat : New.

Etat : New. In English.

Etat : New. In English.

Etat : New. pp. 240.

Etat : New. pp. viii + 171 Softcover Reprint of the Original 1st Edition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Brand New. 200 pages. 9.25x6.50x0.75 inches. In Stock.

Etat : New. In English.

Etat : New. pp. 163.

Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, Rao-Khatri product, mixed orthogonal arrays to name a few.…

Etat : New. pp. 232.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method ¿ as distinct from a ¿science¿ related to any one type of phenomena ¿ is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers. …

Etat : New.

Hardcover. Etat : Brand New. 166 pages. 9.25x6.10x0.63 inches. In Stock.

Hardcover. Etat : new. Hardcover. The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs. The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.