Linear and Nonlinear Models

Linear and Nonlinear Models

Author: Erik W. Grafarend

Publisher:

Published: 2006

Total Pages: 0

ISBN-13: 9783110162165

DOWNLOAD EBOOK

This monograph contains a thorough treatment of methods for solving over- and underdetermined systems of equations, e.g. the minimum norm solution method with respect to weighted norms. The considered equations can be nonlinear or linear, and deterministic models as well as probabilistic ones are considered. An extensive appendix provides all necessary prerequisites like matrix algebra, matrix analysis and Lagrange multipliers, and a long list of references is also included.


Introduction to Interval Computation

Introduction to Interval Computation

Author: Gotz Alefeld

Publisher: Academic Press

Published: 2012-12-02

Total Pages: 352

ISBN-13: 0080916368

DOWNLOAD EBOOK

This book is revised and expanded version of the original German text. The arrangement of the material and the structure are essentially unchanged. All remarks in the Preface to the German Edition regarding naming conventions for formulas, theorems, lemmas, and definitions are still valid as are those concerning the arrangement and choice of material.


Statistical Data Analysis and Inference

Statistical Data Analysis and Inference

Author: Y. Dodge

Publisher: Elsevier

Published: 2014-05-23

Total Pages: 630

ISBN-13: 1483296113

DOWNLOAD EBOOK

A wide range of topics and perspectives in the field of statistics are brought together in this volume. The contributions originate from invited papers presented at an international conference which was held in honour of C. Radhakrishna Rao, one of the most eminent statisticians of our time and a distinguished scientist.


Generalized Inverses

Generalized Inverses

Author: Adi Ben-Israel

Publisher: Springer Science & Business Media

Published: 2006-04-18

Total Pages: 433

ISBN-13: 0387216340

DOWNLOAD EBOOK

This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore.


Astrostatistics

Astrostatistics

Author: Gutti Jogesh Babu

Publisher: CRC Press

Published: 1996-08-01

Total Pages: 242

ISBN-13: 9780412983917

DOWNLOAD EBOOK

Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a statistician-astronomer team, it provides professionals and advanced students in both fields with exposure to issues of mutual interest. In the first half of the book the authors introduce statisticians to stellar, galactic, and cosmological astronomy and discuss the complex character of astronomical data. For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods. The second half of the book is organized by statistical topic. Each chapter contains examples of problems encountered astronomical research and highlights methodological issues. The final chapter explores some controversial issues in astronomy that have a strong statistical component. The authors provide an extensive bibliography and references to software for implementing statistical methods. The "marriage" of astronomy and statistics is a natural one and benefits both disciplines. Astronomers need the tools and methods of statistics to interpret the vast amount of data they generate, and the issues related to astronomical data pose intriguing challenges for statisticians. Astrostatistics paves the way to improved statistical analysis of astronomical data and provides a common ground for future collaboration between the two fields.