Introduction To The Theory Of Statistics
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Author |
: Alexander MacFarlane Mood |
Publisher |
: McGraw-Hill Publishing Company |
Total Pages |
: 564 |
Release |
: 1974 |
ISBN-10 |
: 0070854653 |
ISBN-13 |
: 9780070854659 |
Rating |
: 4/5 (53 Downloads) |
Synopsis Introduction to the Theory of Statistics by : Alexander MacFarlane Mood
This text offers a sound and self-contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year's course in calculus, and no prior knowledge of statistics or probability is assumed. Practical examples and problems are included.
Author |
: Hannelore Liero |
Publisher |
: CRC Press |
Total Pages |
: 280 |
Release |
: 2016-04-19 |
ISBN-10 |
: 9781466503205 |
ISBN-13 |
: 1466503203 |
Rating |
: 4/5 (05 Downloads) |
Synopsis Introduction to the Theory of Statistical Inference by : Hannelore Liero
Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.
Author |
: G. Udny Yule |
Publisher |
: Alpha Edition |
Total Pages |
: 440 |
Release |
: 2019-10-10 |
ISBN-10 |
: 9353897793 |
ISBN-13 |
: 9789353897796 |
Rating |
: 4/5 (93 Downloads) |
Synopsis An Introduction to the Theory of Statistics by : G. Udny Yule
This book has been considered by academicians and scholars of great significance and value to literature. This forms a part of the knowledge base for future generations. So that the book is never forgotten we have represented this book in a print format as the same form as it was originally first published. Hence any marks or annotations seen are left intentionally to preserve its true nature.
Author |
: Mark J. Schervish |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 732 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461242505 |
ISBN-13 |
: 1461242509 |
Rating |
: 4/5 (05 Downloads) |
Synopsis Theory of Statistics by : Mark J. Schervish
The aim of this graduate textbook is to provide a comprehensive advanced course in the theory of statistics covering those topics in estimation, testing, and large sample theory which a graduate student might typically need to learn as preparation for work on a Ph.D. An important strength of this book is that it provides a mathematically rigorous and even-handed account of both Classical and Bayesian inference in order to give readers a broad perspective. For example, the "uniformly most powerful" approach to testing is contrasted with available decision-theoretic approaches.
Author |
: Alan M. Polansky |
Publisher |
: CRC Press |
Total Pages |
: 645 |
Release |
: 2011-01-07 |
ISBN-10 |
: 9781420076615 |
ISBN-13 |
: 1420076612 |
Rating |
: 4/5 (15 Downloads) |
Synopsis Introduction to Statistical Limit Theory by : Alan M. Polansky
Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field.The author explains as much of the
Author |
: Felix Abramovich |
Publisher |
: CRC Press |
Total Pages |
: 240 |
Release |
: 2013-04-25 |
ISBN-10 |
: 9781482211849 |
ISBN-13 |
: 148221184X |
Rating |
: 4/5 (49 Downloads) |
Synopsis Statistical Theory by : Felix Abramovich
Designed for a one-semester advanced undergraduate or graduate course, Statistical Theory: A Concise Introduction clearly explains the underlying ideas and principles of major statistical concepts, including parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, and elements of decision theory. It i
Author |
: Alexander M. Mood |
Publisher |
: |
Total Pages |
: 474 |
Release |
: 1963 |
ISBN-10 |
: UOM:39015000965064 |
ISBN-13 |
: |
Rating |
: 4/5 (64 Downloads) |
Synopsis Introduction to the Theory of Statistics by : Alexander M. Mood
Author |
: Gareth James |
Publisher |
: Springer Nature |
Total Pages |
: 617 |
Release |
: 2023-08-01 |
ISBN-10 |
: 9783031387470 |
ISBN-13 |
: 3031387473 |
Rating |
: 4/5 (70 Downloads) |
Synopsis An Introduction to Statistical Learning by : Gareth James
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Author |
: F.M. Dekking |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 485 |
Release |
: 2006-03-30 |
ISBN-10 |
: 9781846281686 |
ISBN-13 |
: 1846281687 |
Rating |
: 4/5 (86 Downloads) |
Synopsis A Modern Introduction to Probability and Statistics by : F.M. Dekking
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author |
: George Udny Yule |
Publisher |
: Franklin Classics Trade Press |
Total Pages |
: 398 |
Release |
: 2018-10-22 |
ISBN-10 |
: 0343954958 |
ISBN-13 |
: 9780343954956 |
Rating |
: 4/5 (58 Downloads) |
Synopsis An Introduction to the Theory of Statistics by : George Udny Yule
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.