Advances in statistical modeling and inference : essays in honor of Kjell A. Doksum / editor, Vijay Nair.

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Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789812708298
9812708294

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Additional physical formats: Print version:: Advances in statistical modeling and inference.DDC classification:

519.5 22

LOC classification:

QA276 .A265 2007eb

Online resources:

Click here to access online

Contents:

Preface; Contents; Kjell Doksum: Family, Career, and Contributions; Reminiscences of a 40-year Friendship Peter J. Bickel; Part 0: Statistics and Soccer; Part 1: Survival Analysis; Part 2: Reliability Techniques; Part 3: Semiparametric Methods; Part 4: Transformation Models; Part 5: Nonparametric Regression; Part 6: Clustering and Mixture Models; Part 7: Bayesian Nonparametric Inference; Part 8: Rank-Based Methods; Part 9: Monte Carlo and Resampling Methods; Part 10: Constrained Inference; Subject Index.

Summary: There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have als.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references and index.

Print version record.

There have been major developments in the field of statistics over the last quarter century, spurred by the rapid advances in computing and data-measurement technologies. These developments have revolutionized the field and have greatly influenced research directions in theory and methodology. Increased computing power has spawned entirely new areas of research in computationally-intensive methods, allowing us to move away from narrowly applicable parametric techniques based on restrictive assumptions to much more flexible and realistic models and methods. These computational advances have als.

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