Introducing Probability & Statistics
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Introducing Probability & Statistics (Paperback, Dr. Bansi Lal, Dr. Sanjay Arora, Sudha Arora)

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Introducing Probability & Statistics  (Paperback, Dr. Bansi Lal, Dr. Sanjay Arora, Sudha Arora)

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Highlights
  • Binding: Paperback
  • Publisher: Satya Prakashan
  • ISBN: 9789351923503
  • Edition: 2022, 1994
  • Pages: 868
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  • Description
    Introducing Probability & Statistics 2/e is aimed at reaching the mid-high, although it starts at the lowest level of basic fundas. It intends to inculcate in the reader's mind an intuitive as well as the mathematical feel for the subject which is so essential for scientific thinking. Most of the standard topics are included, but a few are omitted, which are given in authors' New Mathematical Statistics (1989). Just a glance over Partial Contents reveals the topics covered. The vastly-covered topics are profusely illustrated by over 900 fully worked-out distinct Problems, of which 542 are starred and their solutions are provided at the back of the Text (pp : 659-818). This shall help rapid coverage and flexibility of available choices.The Book “Introducing Probability and Statistics” provides an extensively detailed and reasonably rigorous introduction to Basics of elementary parts of Probability Theory with emphasis on Probability Models and some Statistics. The material is based on thorough revised version and the target space is the new course structured for Mathematics, Honours of Delhi University, although its periphery is all Indian Universities.
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    Book Details
    Publication Year
    • 1994
    Table of Contents
    • 1. Elementary Probability. Basic Concepts 2. Probabilistic Independence. Baye’s Reversal Rule 3. One-Variate Distribution Theory 5. Mathematical Expectation 6. Moments and Quantiles 7. Conditional Expectation 8. Generating Functions (or Transform Methods) 9. Characteristic Function 10. Some Probability Inequalities 11. Convergence. Limiting M.G.F. Laws of Large Numbers 12. Bernoulli Binomial Distribution 13. Poisson Distribution 14. Geometric Distribution. Negative Binomial Distribution 15. More Discrete Distributions 16. Normal (Gaussian) Distribution 17. Central Limit Theorem. Normal Approximations 18. Uniform Distribution. Exponential Distribution 19. More Continuous Distributions 20. Bivariate Normal Distribution 21. Chi-Square Distribution 22. Fisher-Student t-Distn. Snedecor-Fisher F-Distn. Solutions to Starred Problems Some Useful Formulas Statistical Tables Brief Bibliography Subject Index
    Number of Pages
    • 868
    Net Quantity
    • 1
    Dimensions
    Width
    • 5
    Height
    • 15
    Depth
    • 10
    Weight
    • 0.4
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