First course in probability and statistics
Material type:
TextLanguage: English Publication details: Singapore: World Scientific, 2020 Description: xi, 317p. PbkISBN: 9780000988683Subject(s): ESTIMATION | LINEAR REGRESSION AND CORRELATION | PROBABILITY ON DISCRETE SAMPLE SPACESDDC classification: 519.22 Summary: Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year-level knowledge of calculus. Most of the statistical software explain how to conduct data analysis, but do not explain when to apply and when not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding of a first course in calculus at the undergraduate level.
Designed as a textbook for undergraduate and first-year graduate students in statistics, bio-statistics, social sciences and business administration programs as well as undergraduates in engineering sciences and computer science programs, it provides a clear exposition of the theory of probability along with applications in statistics. The book contains a large number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
NBHM Books
|
NISER LIBRARY | 519.22 RAO-F (Browse shelf(Opens below)) | Checked out to Subham Sarkar (SMSPDF02) | 13/01/2024 | N364 |
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| 519.22 MED-S Statistical methods: | 519.22 MIL-J John E. Freund's mathematical statistics with applications | 519.22 MOO-I Introduction to the theory of statistics | 519.22 RAO-F First course in probability and statistics | 519.22 SID-R Recent developments in applicable mathematics | 519.22:004 MAR-C Computational statistics handbook with MATLAB | 519.224 JOH-U Univariate discrete distributions |
Contents:
1. Why Statistics?
2. Probability on Discrete Sample Spaces
3. Discrete Probability Distributions
4. Continuous Probability Distributions
5. Multivariate Probability Distributions
6. Functions of Random Vectors
7. Approximations to Some Probability Distributions
8. Estimation
9. Interval Estimation and Testing of Hypotheses
10. Linear Regression and Correlation
Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year-level knowledge of calculus. Most of the statistical software explain how to conduct data analysis, but do not explain when to apply and when not to apply it. Keeping this in view, we try to explain the basic concepts of probability and statistics for students with an understanding of a first course in calculus at the undergraduate level.
Designed as a textbook for undergraduate and first-year graduate students in statistics, bio-statistics, social sciences and business administration programs as well as undergraduates in engineering sciences and computer science programs, it provides a clear exposition of the theory of probability along with applications in statistics. The book contains a large number of solved examples and chapter-end exercises designed to reinforce the probability theory and emphasize statistical applications.
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