First course in probability and statistics
Rao, B. L. S. Prakasa
First course in probability and statistics - Singapore: World Scientific, 2020 - xi, 317p. Pbk.
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.
9780000988683
ESTIMATION
LINEAR REGRESSION AND CORRELATION
PROBABILITY ON DISCRETE SAMPLE SPACES
519.22 / RAO-F
First course in probability and statistics - Singapore: World Scientific, 2020 - xi, 317p. Pbk.
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.
9780000988683
ESTIMATION
LINEAR REGRESSION AND CORRELATION
PROBABILITY ON DISCRETE SAMPLE SPACES
519.22 / RAO-F
