Advanced Statistics Statistical Distributions
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Advanced Statistics Statistical Distributions
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Author : Alice Morgan
language : en
Publisher: Murphy & Moore Publishing
Release Date : 2021-11-16
Advanced Statistics Statistical Distributions written by Alice Morgan and has been published by Murphy & Moore Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Mathematics categories.
The discipline that is concerned with the collection, organization, analysis, interpretation, and presentation of data is referred to as statistics. The two main statistical methods that are used in data analysis are descriptive statistics and inferential statistics. Descriptive statistics summarizes data from a sample using indexes such as the mean or standard deviation, whereas inferential statistics draws conclusions from data that are subject to random variation. Statistics is applied in machine learning and data mining, academia, computing, business, mathematics, and arts. Statistical distribution refers to the parameterized mathematical function which provides the probabilities of different outcomes for a random variable. This book is compiled in such a manner, that it will provide in-depth knowledge about the theory and practice of statistical distributions. Also included herein is a detailed explanation of the various concepts and applications of this field. This book aims to equip students and experts with advanced topics and upcoming concepts in this area.
Understanding Advanced Statistical Methods
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Author : Peter Westfall
language : en
Publisher: CRC Press
Release Date : 2013-04-09
Understanding Advanced Statistical Methods written by Peter Westfall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-09 with Mathematics categories.
Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.
A Primer On Statistical Distributions
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Author : Narayanaswamy Balakrishnan
language : en
Publisher: John Wiley & Sons
Release Date : 2004-11-20
A Primer On Statistical Distributions written by Narayanaswamy Balakrishnan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-20 with Mathematics categories.
Designed as an introduction to statistical distribution theory. * Includes a first chapter on basic notations and definitions that are essential to working with distributions. * Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and Multivariate Distributions. * Exercises are incorporated throughout the text in order to enhance understanding of materials just taught.
Applied Statistical Methods
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Author : Irving W. Burr
language : en
Publisher: Elsevier
Release Date : 2014-05-10
Applied Statistical Methods written by Irving W. Burr and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Mathematics categories.
Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.
Applied Statistical Science
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Author : Mohammad Ahsanullah
language : en
Publisher: Nova Biomedical Books
Release Date : 1997
Applied Statistical Science written by Mohammad Ahsanullah and has been published by Nova Biomedical Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematics categories.
Contents: Nonparametric Perspectives in Regression Analysis; Record Values of Univariate Distribution; A Transfer Theorem for Multitype Processes & Applications; The Generalized Order Statistics; Some Inference Aspects of a Social Network; Estimation of Mean Based on an Unbalanced Ranked Set Sample; Lower Bound to Mean Square Error of Estimator in Unequal Probability Sampling; Asymptomic Shrinkage Estimation: The Regression Case; Estimation of Parameters Using Modified Ranked Set Sampling; Certain Families of Distributions.
Applied Statistics And Probability For Engineers
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Author : Douglas C. Montgomery
language : en
Publisher:
Release Date : 1999
Applied Statistics And Probability For Engineers written by Douglas C. Montgomery and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematics categories.
This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes and who improve existing systems. Written by engineers for engineers, the examples and exercises are engineering-based, containing real data. And because computers are used to apply statistical methods to solve problems, output is presented from Statgraphics and SAS to illustrate what can be done with modern statistical software. Readers will master discrete and continuous random variables and probability distributions; point and interval estimation; testing hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.
Introduction To Probability Statistics R
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Author : Sujit K. Sahu
language : en
Publisher: Springer Nature
Release Date : 2024-04-01
Introduction To Probability Statistics R written by Sujit K. Sahu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Mathematics categories.
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book serves as a gateway to learning statistical methods from scratch, assuming a solid background in high school mathematics. Readers gradually progress from basic concepts to advanced statistical modelling, with examples from actuarial, biological, ecological, engineering, environmental, medicine, and social sciences highlighting the real-world relevance of the subject. An accompanying R package enables seamless practice and immediate application, making it ideal for beginners. The book comprises 19 chapters divided into five parts. Part I introduces basic statistics and the R software package, teaching readers to calculate simple statistics and create basic data graphs. Part II delves into probability concepts, including rules and conditional probability, and introduces widelyused discrete and continuous probability distributions (e.g., binomial, Poisson, normal, log-normal). It concludes with the central limit theorem and joint distributions for multiple random variables. Part III explores statistical inference, covering point and interval estimation, hypothesis testing, and Bayesian inference. This part is intentionally less technical, making it accessible to readers without an extensive mathematical background. Part IV addresses advanced probability and statistical distribution theory, assuming some familiarity with (or concurrent study of) mathematical methods like advanced calculus and linear algebra. Finally, Part V focuses on advanced statistical modelling using simple and multiple regression and analysis of variance, laying the foundation for further studies in machine learning and data science applicable to various data and decision analytics contexts. Based on years of teaching experience, this textbook includes numerousexercises and makes extensive use of R, making it ideal for year-long data science modules and courses. In addition to university courses, the book amply covers the syllabus for the Actuarial Statistics 1 examination of the Institute and Faculty of Actuaries in London. It also provides a solid foundation for postgraduate studies in statistics and probability, or a reliable reference for statistics.
Applied Statistics In Agriculture
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Author :
language : en
Publisher:
Release Date : 1999
Applied Statistics In Agriculture written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Agriculture categories.
Advanced Statistical Methods In Data Science
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Author : Ding-Geng Chen
language : en
Publisher: Springer
Release Date : 2016-11-30
Advanced Statistical Methods In Data Science written by Ding-Geng Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Mathematics categories.
This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invited the presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced statistical model development in big-data sciences.
A Modern Course On Statistical Distributions In Scientific Work
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Author : Ganapati P. Patil
language : en
Publisher: Springer
Release Date : 1975-05-31
A Modern Course On Statistical Distributions In Scientific Work written by Ganapati P. Patil and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975-05-31 with Mathematics categories.
These three volumes constitute the edited Proceedings of the NATO Advanced Study Institute on Statistical Distributions in Scientific Work held at the University of Calgary from July 29 to August 10, ~. 974. The general title of the volumes is "Statistical Distributions in Scientific Work". The individual volumes are: Volume 1 - Models and Structures; Volume 2 - Model Building and Model Selection; and Volume 3 - Characterizations and Applications. These correspond to the three advanced seminars of the Institute devoted to the respective subject areas. The planned activities of the Institute consisted of main lectures and expositions, seminar lectures and study group dis cussions, tutorials and individual study. The activities included meetings of editorial committees to discuss editorial matters for these proceedings which consist of contributions that have gone through the usual refereeing process. A special session was organized to consider the potential of introducing a course on statistical distributions in scientific modeling in the curriculum of statistics and quantitative studies. This session is reported in Volume 2. The overall perspective for the Institute is provided by the Institute Director, Professor G. P. Pati1, in his inaugural address which appears in Volume 1. The Linnik Memorial Inaugural Lecture given by Professor C. R. Rao for the Characterizations Seminar is included in Volume 3. As discussed in the Institute inaugural address, not mL.