Computer Oriented Numerical and Statistical Methods

by SANT SHARAN MISHRA

Overview

This comprehensive text provides a thorough understanding of mathematical concepts and their applications with special emphasis on computational algorithms. The book gives a detailed discussion on all the relevant topics of both numerical and statistical methods, which are very important at computing level. It also includes the basic issues related to theory of estimation and testing of hypothesis, various sampling tests, and analysis of variance with plenty of illustrations. The topics covered in this book are supported by a large number of worked-out examples, C programmes and algorithms to facilitate clear understanding of various theories discussed on numerical and statistical methods. The text is intended for undergraduate students of computer engineering and postgraduate students of computer applications.

Product Details

ISBN-13:	9788120347809
Publisher:	PHI Learning
Publication date:	05/22/2013
Sold by:	Barnes & Noble
Format:	eBook
File size:	12 MB
Note:	This product may take a few minutes to download.

About the Author

<strong>Sant Sharan Mishra</strong>, PhD, is Reader, Department of Mathematics and Statistics at Dr. Ram Manohar Lohia Avadh University, Faizabad. He has over 18 years of teaching experience both at undergraduate and postgraduate level. Dr. Mishra has published more than 60 research papers in national and international journals of repute. He is the recipient of &lsquo;Best Research Paper Award&rsquo; by the University of Maryland Eastern Shore, USA. His areas of research include Operation Research/Optimization, Numerical Analysis, and Probability Theory and Statistics.

Table of Contents

Preface 1.    Computer Arithmetic 2.    Algebraic and Transcendental Equations 3.    Solution of Simultaneous Linear Algebraic Equations 4.    Interpolation 5.    Numerical Differentiation and Integration 6.    Numerical Solution of Ordinary Differential Equations 7.    Curve Fitting 8.    Time Series, Forecasting and Quality Control 9.    Statistics, Data and Frequency 10.  Measures of Central Tendency and Dispersion 11.  Correlation and Regression Analysis 12.  Control Structures 13.  Theory of Estimation and Testing of Hypothesis 14.  Small Sampling and Analysis of Variance 15.  Appendix Index