Statistical Methods for Engineering and Sciences, 1/e
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Statistical Methods for Engineering and Sciences, 1/e

Author : H C Taneja
© Year : 2009
ISBN : 9789380026664
Pages : 368
Binding : Paperback
Weight : 0.55   kg
Discount : 20.00  %
Price :   32.00      25.60
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  • About the Book
  • Salient Features
  • Table of Contents
  • About the Author

The text, divided in Chapters 1-12, has been designed for a course on statistical methods for students in engineering, mathematics, statistics, economics and natural sciences. Topics have been introduced and developed in a manner to help the readers for a hassle free study. Each chapter includes a vast collection of examples, review exercises, and a problem set along with the answers. The book can be adopted for either a one- or two- semester course on statistical methods and applications.

Salient Features:

  • Contains about 200 problems, accompanied by detailed solutions.
  • Each chapter has a rich suite of exercises comprising review exercises, and problem sets with answer keys.
  • Proofs of the theorems have been given in a detailed manner.
  • Has useful appendices containing various tables denoting values and areas.

  • Preface
  • Descriptive Statistics
  • Elements of Probability
  • Random Variables and Expectation
  • Special Discrete Probability Distributions
  • Special Continuous Probability Distributions
  • Correlation and Regression
  • Sampling Distributions and Large Sample Estimation
  • Exact Sampling Distributions and Small Sample Testing
  • Analysis of Variance
  • Statistical Quality Control
  • Acceptance Sampling
  • Stochastic Processes
  • Appendix
  • References
  • Index.

H C Taneja :- is Professor and Head, Department of Applied Mathematics, Delhi Technological University, New Delhi. He has vast experience of teaching both mathematics and statistics at UG and PG level to science & engineering students. He has published a number of research papers in journals of international repute, and also has authored a textbook Statistical Methods for Engineering Students. His research interests include Information Theory, Univalent Functions and Applications of Stochastic Processes.

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