Title Details: | |
Probability - Statistics |
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Other Titles: |
Applications using R |
Authors: |
Economou, Polychronis Malefaki, Sonia Batsidis, Apostolos |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > PROBABILITY THEORY AND STOCHASTIC PROCESSES MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > DISTRIBUTION THEORY MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > PARAMETRIC INFERENCE MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > LINEAR INFERENCE, REGRESSION MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > APPLICATIONS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS |
Keywords: |
Probability
Combinations Permutations Combinatorics Ordering Event Conditional probability Random variable Discrete random variable Continuous random variable Mean Variance Moments Moment generating function Skewness Kurtosis Binomial distribution Geometric distribution Negative binomial distribution Hypergeometric distribution Poisson distribution Uniform distribution Exponential distribution Gamma distribution Beta distribution Normal distribution Statistical function Random sample Frequency Relative frequency Cumulative frequency Median Regression ANOVA One way analysis of variance Law of Total Probability Bayes theorem Central Limit Theorem Cumulative distribution function Probability mass function Probability density function Sampling distributions Confidence interval Statistical hypothesis testing Hypothesis testing |
Description: | |
Abstract: |
The importance of Probability and Statistics in solving issues in a variety of scientific domains has been steadily rising in recent decades. As a result, in addition to the Mathematics and Statistics departments, several university departments now teach Probability and Statistics. The major objective of this book is to give students, learning these topics for the first time, all the theoretical grounding they need to select and use the right methodology to solve problems in their field of study. This book can be used as an introduction text in courses on Probability, Statistics, or Probability-Statistics in the aforementioned context. In particular, the material from Chapters 1-7, with full emphasis on proofs and the theoretical background, is considered sufficient for the teaching of an introductory course in Probability, while the material from Chapters 8-13, with full emphasis on theoretical results, is considered sufficient for the teaching of an introductory course in Statistics. Finally, it is advised to cover the topics from Chapters 1-6 and 8-13 without focus on the mathematical proofs when teaching an introductory Probability and Statistics course or while teaching the course in departments other than Mathematics and Statistics.
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Linguistic Editors: |
Vasiliki, Tiraidi |
Type: |
Undergraduate textbook |
Creation Date: | 23-09-2022 |
Item Details: | |
ISBN |
978-618-5667-85-6 |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-101 |
Handle | http://hdl.handle.net/11419/8589 |
Bibliographic Reference: | Economou, P., Malefaki, S., & Batsidis, A. (2022). Probability - Statistics [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-101 |
Language: |
Greek |
Consists of: |
1. The concept of probability 2. Conditional probability, Bayes Theorem and independence 3. Random variables and distributions 4. Special discrete distributions 5. Special continuous distributions 6. Multivariate random variable - Stochastic Independence 7. Transformation of random variables - Central Limit Theorem 8. Descriptive Statistics 9. Sampling Distributions 10. Estimation 11. Statistical hypothesis testing 12. Simple linear regression 13. Analysis of variance |
Number of pages |
566 |
Publication Origin: |
Kallipos, Open Academic Editions |
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