Probability and Statistical Inference

This PDF book is become immediate popular in Mathematics genre. Probability and Statistical Inference is written by famous author Miltiadis C. Mavrakakis and Ready to Download in ePUB, PDF or Kindle formats. Released by CRC Press in 2021-03-29. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Probability and Statistical Inference book.

Probability and Statistical Inference
Author : Miltiadis C. Mavrakakis
Publisher : CRC Press
Release Date : 29 March 2021
ISBN : 9781315362045
Pages : 444
File Size : 42,6 Mb
Total View : 6589 Views
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Probability and Statistical Inference by Miltiadis C. Mavrakakis Book PDF Summary

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. Features: •Complete introduction to mathematical probability, random variables, and distribution theory. •Concise but broad account of statistical modelling, covering topics such as generalised linear models, survival analysis, time series, and random processes. •Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation, hypothesis testing) and the main techniques in likelihood-based inference. •Detailed introduction to Bayesian statistics and associated topics. •Practical illustration of some of the main computational methods used in modern statistical inference (simulation, boostrap, MCMC). 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.

Probability and Statistical Inference
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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

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Probability and Statistical Inference
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  • File Size : 42,7 Mb

Updated classic statistics text, with new problems and examples Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The

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Probability and Statistical Inference
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  • File Size : 42,7 Mb

A carefully written text, suitable as an introductory course for second or third year students. The main scope of the text guides students towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from many other texts using statistical decision

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Probability and Statistical Inference
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Probability and Statistical Inference written by famous author J.G. Kalbfleisch book pdf is ready to download and read online directly from your device. The book was released by Springer Science & Business Media in 2012-12-06 with total hardcover pages 444. Probability and Statistical Inference J.G. Kalbfleisch book immediate popular

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Probability and Statistical Inference
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Priced very competitively compared with other textbooks at this level! This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. Beginning wi

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Hilbert Space Methods in Probability and Statistical Inference
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Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory of martingales stochastic integration, interpolation and density estimation. Includes a copious amount of problems and examples.

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This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.

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An Introduction to Probability and Statistical Inference
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An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about various concepts. Written by award-winning author George Roussas, this book introduces readers with no prior knowledge in probability or statistics to a thinking process to help

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