Probability Theory For Statistical Methods

Author : Rudolf J. Freund,William J. Wilson
Publisher : Elsevier
Page : 694 pages
File Size : 46,9 Mb
Release : 2003-01-07
Category : Mathematics
ISBN : 9780080498225

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Statistical Methods by Rudolf J. Freund,William J. Wilson Pdf

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters

Author : Fn David
Publisher : Legare Street Press
Page : 0 pages
File Size : 44,9 Mb
Release : 2023-07-18
Category : Electronic
ISBN : 1021516015

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Probability Theory For Statistical Methods by Fn David Pdf

Probability Theory for Statistical Methods is a classic textbook on probability theory. It covers basic probability, random variables, and probability distributions, and serves as an essential resource for anyone studying statistics or related fields. A must-read for anyone interested in the mathematics of chance. 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. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Author : Jean-François Mari,René Schott
Publisher : Springer Science & Business Media
Page : 243 pages
File Size : 44,7 Mb
Release : 2013-04-17
Category : Mathematics
ISBN : 9781475762808

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Probabilistic and Statistical Methods in Computer Science by Jean-François Mari,René Schott Pdf

Probabilistic and Statistical Methods in Computer Science

Author : Florence Nightingale David
Publisher : Unknown
Page : 230 pages
File Size : 42,8 Mb
Release : 1951
Category : Mathematical statistics
ISBN : OCLC:219845118

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Probability Theory for Statistical Methods by Florence Nightingale David Pdf

Author : Florence Nightingale David
Publisher : Unknown
Page : 246 pages
File Size : 40,6 Mb
Release : 1951
Category : Probabilities
ISBN : WISC:89075322453

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Probability Theory for Statistical Methods by Florence Nightingale David Pdf

Author : Michael A. Proschan,Pamela A. Shaw
Publisher : CRC Press
Page : 328 pages
File Size : 50,9 Mb
Release : 2016-03-23
Category : Mathematics
ISBN : 9781498704205

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Essentials of Probability Theory for Statisticians by Michael A. Proschan,Pamela A. Shaw Pdf

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.

Author : Katarzyna Stapor
Publisher : Springer Nature
Page : 163 pages
File Size : 42,8 Mb
Release : 2020-05-22
Category : Mathematics
ISBN : 9783030457990

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Introduction to Probabilistic and Statistical Methods with Examples in R by Katarzyna Stapor Pdf

This book strikes a healthy balance between theory and applications, ensuring that it doesn’t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.

Author : Luca Lista
Publisher : Springer
Page : 257 pages
File Size : 47,8 Mb
Release : 2017-10-13
Category : Science
ISBN : 9783319628400

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Statistical Methods for Data Analysis in Particle Physics by Luca Lista Pdf

This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers’ advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation).

Author : P.K. Bhattacharya,Prabir Burman
Publisher : Academic Press
Page : 544 pages
File Size : 50,7 Mb
Release : 2016-06-23
Category : Mathematics
ISBN : 9780128041239

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Theory and Methods of Statistics by P.K. Bhattacharya,Prabir Burman Pdf

Theory and Methods of Statistics covers essential topics for advanced graduate students and professional research statisticians. This comprehensive resource covers many important areas in one manageable volume, including core subjects such as probability theory, mathematical statistics, and linear models, and various special topics, including nonparametrics, curve estimation, multivariate analysis, time series, and resampling. The book presents subjects such as "maximum likelihood and sufficiency," and is written with an intuitive, heuristic approach to build reader comprehension. It also includes many probability inequalities that are not only useful in the context of this text, but also as a resource for investigating convergence of statistical procedures. Codifies foundational information in many core areas of statistics into a comprehensive and definitive resource Serves as an excellent text for select master’s and PhD programs, as well as a professional reference Integrates numerous examples to illustrate advanced concepts Includes many probability inequalities useful for investigating convergence of statistical procedures

Author : Hisashi Kobayashi,Brian L. Mark,William Turin
Publisher : Cambridge University Press
Page : 813 pages
File Size : 41,8 Mb
Release : 2011-12-15
Category : Technology & Engineering
ISBN : 9781139502610

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Probability, Random Processes, and Statistical Analysis by Hisashi Kobayashi,Brian L. Mark,William Turin Pdf

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Author : Paolo L. Gatti
Publisher : CRC Press
Page : 369 pages
File Size : 46,8 Mb
Release : 2004-11-10
Category : Architecture
ISBN : 9780203305430

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Probability Theory and Mathematical Statistics for Engineers by Paolo L. Gatti Pdf

Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications of statistics, bridging theory and practice. It gives a series of methods or recipes which can be applied to specific problems. This book is essential reading for practicing engineers who need a sound background knowledge of probabilistic and statistical concepts and methods of analysis for their everyday work. It is also a useful guide for graduate engineering students.

Author : Svetlozar T. Rachev,Lev Klebanov,Stoyan V. Stoyanov,Frank Fabozzi
Publisher : Springer Science & Business Media
Page : 616 pages
File Size : 43,9 Mb
Release : 2013-01-04
Category : Mathematics
ISBN : 9781461448693

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The Methods of Distances in the Theory of Probability and Statistics by Svetlozar T. Rachev,Lev Klebanov,Stoyan V. Stoyanov,Frank Fabozzi Pdf

This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison of probability metrics. After describing the basic structure of probability metrics and providing an analysis of the topologies in the space of probability measures generated by different types of probability metrics, the authors study stability problems by providing a characterization of the ideal metrics for a given problem and investigating the main relationships between different types of probability metrics. The presentation is provided in a general form, although specific cases are considered as they arise in the process of finding supplementary bounds or in applications to important special cases. Svetlozar T. Rachev is the Frey Family Foundation Chair of Quantitative Finance, Department of Applied Mathematics and Statistics, SUNY-Stony Brook and Chief Scientist of Finanlytica, USA. Lev B. Klebanov is a Professor in the Department of Probability and Mathematical Statistics, Charles University, Prague, Czech Republic. Stoyan V. Stoyanov is a Professor at EDHEC Business School and Head of Research, EDHEC-Risk Institute—Asia (Singapore). Frank J. Fabozzi is a Professor at EDHEC Business School. (USA)

Author : Cambridge University Press
Publisher : Unknown
Page : 128 pages
File Size : 47,7 Mb
Release : 2003-03
Category : Electronic
ISBN : 0521047862

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Probability Theory for Statistical Methods by Cambridge University Press Pdf

Author : Michael J. Evans,Jeffrey S. Rosenthal
Publisher : WH Freeman
Page : 200 pages
File Size : 51,9 Mb
Release : 2010-03-01
Category : Mathematics
ISBN : 1429224630

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Probability and Statistics by Michael J. Evans,Jeffrey S. Rosenthal Pdf

Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor to the course, incorporating the computer and offering an integrated approach to inference that includes the frequency approach and the Bayesian inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout. Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The new edition includes a number of features designed to make the material more accessible and level-appropriate to the students taking this course today.

Author : Dharmaraja Selvamuthu,Dipayan Das
Publisher : Springer
Page : 0 pages
File Size : 51,9 Mb
Release : 2024-03-11
Category : Mathematics
ISBN : 9819993628

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Introduction to Probability, Statistical Methods, Design of Experiments and Statistical Quality Control by Dharmaraja Selvamuthu,Dipayan Das Pdf

This revised book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments, and statistical quality control. It is shaped by the experience of the two teachers teaching statistical methods and concepts to engineering students. Practical examples and end-of-chapter exercises are the highlights of the text, as they are purposely selected from different fields. Statistical principles discussed in the book have a great relevance in several disciplines like economics, commerce, engineering, medicine, health care, agriculture, biochemistry, and textiles to mention a few. Organised into 16 chapters, the revised book discusses four major topics—probability theory, statistical methods, the design of experiments, and statistical quality control. A large number of students with varied disciplinary backgrounds need a course in basics of statistics, the design of experiments and statistical quality control at an introductory level to pursue their discipline of interest. No previous knowledge of probability or statistics is assumed, but an understanding of calculus is a prerequisite. The whole book also serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering.