MARC details
000 -LEADER |
fixed length control field |
03026nam a22002177a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230113101241.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230113b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780367749125 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.54 |
Item number |
MAV |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mavrakakis, Miltiadis C. |
245 ## - TITLE STATEMENT |
Title |
Probability and statistical inference: |
Remainder of title |
from basic principles to advanced models |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
CRC Press |
Place of publication, distribution, etc. |
Boco Raton |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xix, 423 p. |
365 ## - TRADE PRICE |
Price type code |
GBP |
Price amount |
42.99 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Table of Contents<br/>1. Introduction<br/>2. Probability<br/>3. Random Variables and Univariate Distributions<br/>4. Multivariate Distributions<br/>5. Conditional Distributions<br/>6. Statistical Models<br/>7. Sample Moments and Quantiles<br/>8. Estimation, Testing, and Prediction<br/>9. Likelihood-based Inference<br/>10. Inferential Theory<br/>11. Bayesian Inference<br/>12. Simulation Methods |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and inference that are fundamental to a proper understanding of data analysis and statistical modelling. It presents these topics in an accessible manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate-level texts. The book introduces and explores techniques that are relevant to modern practitioners, while being respectful to the history of statistical inference. It seeks to provide a thorough grounding in both the theory and application of statistics, with even the more abstract parts placed in the context of a practical setting.<br/><br/>Features:<br/><br/>•Complete introduction to mathematical probability, random variables, and distribution theory.<br/>•Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes.<br/>•Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference.<br/>•Detailed introduction to Bayesian statistics and associated topics.<br/>•Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC).<br/><br/>This book is for students who have already completed a first course in probability and statistics, and now wish to deepen and broaden their understanding of the subject. It can serve as a foundation for advanced undergraduate or postgraduate courses. Our aim is to challenge and excite the more mathematically able students, while providing explanations of statistical concepts that are more detailed and approachable than those in advanced texts. This book is also useful for data scientists, researchers, and other applied practitioners who want to understand the theory behind the statistical methods used in their fields. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Probabilities |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical statistics |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Penzer, Jeremy |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |