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 :- 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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