Statics and Analytical Geometry
Statics and Analytical Geometry

Author: Bennie Matthews

Publisher: Scientific e-Resources

Published: 2019-06-21

Total Pages: 296

ISBN-13: 1839473339

DOWNLOAD EBOOK

This book talks about the traditional subjects of Euclidean, relative and projective geometry in two and three measurements, including the order of conics and quadrics, and geometric changes. These subjects are imperative both for the scientific establishing of the understudy and for applications to different subjects. They might be contemplated in the principal year or as a moment course in geometry. The material is exhibited geometrically, and it means to build up the geometric instinct and thinking about the understudy, and in addition his capacity to comprehend and give numerical evidences. Direct polynomial math isn't an essential, and is kept to an absolute minimum. The book incorporates a couple of methodological curiosities, and a substantial number of activities and issues with arrangements. Particularly composed as an incorporated study of the improvement of diagnostic geometry, this great investigation adopts a one of a kind strategy to the historical backdrop of thoughts.

Statistical Methods
Statistical Methods

Author: David J. Saville

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 279

ISBN-13: 1461207479

DOWNLOAD EBOOK

The aim of this book is to present the mathematics underlying elementary statistical methods in as simple a manner as possible. These methods include independent and paired sample t-tests, analysis of variance, regression, and the analysis of covariance. The author's principle tool is the use of geometric ideas to provide more visual insight and to make the theory accessible to a wider audience than is usually possible.

Geometry Driven Statistics
Geometry Driven Statistics

Author: Ian L. Dryden

Publisher: John Wiley & Sons

Published: 2015-09-03

Total Pages: 436

ISBN-13: 1118866606

DOWNLOAD EBOOK

A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia This volume celebrates Kanti V. Mardia's long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high-profile researchers in the field. Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations. Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.