Download or read book INFERENTIAL STATISTICS and NUMERICAL METHODS written by Vandana Bagla and published by . This book was released on 2018-02-18 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical methods'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable.
Download or read book Inferential Statistics and Numerical Methods written by Vandana Bagla and published by Createspace Independent Publishing Platform. This book was released on 2018-02-18 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical methods'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable. Dr. Vandana Bagla B.Sc. (Computers), M.Sc. (Mathematics), MBA (HR), Ph.D. (Operations Research) Assistant Professor at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Download or read book Inferential Statistics and Numerical Analysis written by Vandana Bagla and published by Createspace Independent Publishing Platform. This book was released on 2018-03-14 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is my pleasure to present the first edition of the book titled 'Inferential Statistics and Numerical Analysis'. The book provides an insight into elementary inferential statistical methodologies including probability and sampling techniques; with basic numerical procedures of equation solving and interpolation. The content elaborates statistical and numerical methods that are significantly useful in science and engineering undergraduate courses; engrossing basic concepts and applications of statistical techniques and numerical methods in scientific, research and industrial applications. With this first edition, I have strived to meet the expectations of the students by explaining the text and related theory right from the elementary level. With a substantial emphasis on conceptual knowledge, the book provides working methodologies with sufficient number of illustrative examples. Practicing students and budding scientists will find it pragmatic in research related application problems. Level of the book has been kept moderately rudimentary and plain sailed to provide its' readers with lucidity and perceptibility. An exuberant attempt has been made for the students to comprehend and develop an envision for the concepts exemplified. It is hoped that this book would be determinedly advantageous to the tutees and prove to be serviceable. Dr. Vandana Bagla B.Sc. (Computers), M.Sc. (Mathematics), MBA (HR), Ph.D. (Operations Research) Assistant Professor at Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India
Download or read book Understanding and Evaluating Research written by Sue L. T. McGregor and published by SAGE Publications. This book was released on 2017-10-25 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
Download or read book Numerical Analysis Statistical Methods written by and published by Academic Publishers. This book was released on with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Numerical Methods of Statistics written by John F. Monahan and published by Cambridge University Press. This book was released on 2011-04-18 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.
Download or read book Statistical Methods written by Cheryl Ann Willard and published by Routledge. This book was released on 2020-02-27 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Download or read book Statistical Inference via Data Science A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.
Download or read book New Developments in Statistics written by IntroBooks and published by Can Akdeniz. This book was released on 2019-01-14 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics has been derived from the Latin word status, an Italian word, statist, or a German word, statistic, all of which mean a 'political state'. The use of statistics has been employed in various fields like biostatics, agriculture, economics, sociology, business management, etc. The field of statistics is not new, and its beginning can be dated back to the times of the beginning of human activities. However, the utilization of statistics has increased over the years. In earlier times statistics was referred to as the science of statecraft and were used for collecting data related to population count in a ruler's area - crime, mortality, income, birth rate - and were also used for keeping a track of the key events of the time for administrative purposes. However, in modern times, the use of statistics has been employed in a variety of fields. Its use has been extended in the areas of formulation and prediction of future plans and policies of the state administration. The word statistics is used in multiple numbers of ways. There are some instances where it is used in plural form that reflects upon the word statistics, being referred to as numerical data and statements. There are other instances where it is used in singular form to refer to the subject of study just like any other subject, like mathematics, economics, etc. The importance of statistics has subsequently increased over all these passing years. It is because of the benefits that it provides to the user. The statistical findings have made assumption of anomalous information easy. In fact, the use of the statistical thinking has become necessary for citizens.
Download or read book Measuring and Reasoning written by Fred L. Bookstein and published by Cambridge University Press. This book was released on 2014-02-28 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Measuring and Reasoning, Fred L. Bookstein examines the way ordinary arithmetic and numerical patterns are translated into scientific understanding, showing how the process relies on two carefully managed forms of argument: • Abduction: the generation of new hypotheses to accord with findings that were surprising on previous hypotheses, and • Consilience: the confirmation of numerical pattern claims by analogous findings at other levels of measurement. These profound principles include an understanding of the role of arithmetic and, more importantly, of how numerical patterns found in one study can relate to numbers found in others. More than 200 figures and diagrams illuminate the text. The book can be read with profit by any student of the empirical nature or social sciences and by anyone concerned with how scientists persuade those of us who are not scientists why we should credit the most important claims about scientific facts or theories.
Download or read book Applied Statistical Inference written by Leonhard Held and published by Springer Science & Business Media. This book was released on 2013-11-12 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint. Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective. A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis.
Download or read book Statistical Inference Based on the likelihood written by Adelchi Azzalini and published by Routledge. This book was released on 2017-11-13 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood. Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
Download or read book Statistics in Psychology written by Stephen Jones and published by Bloomsbury Publishing. This book was released on 2010-09-15 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you choose the appropriate statistical method for any given research task? What are the features that discern one statistical method from another, and for which research projects are they appropriate to use? Written specifically with the undergraduate psychology student in mind and for those who desire an explanation for the use of statistics in psychological research without the mathematics, this refreshing and much-needed introduction is invaluable for any psychology students who 'don't get numbers'. Breaking away from the traditional, numerical approaches, Jones delivers an engaging and insightful read into the rationale behind the use of statistics, drawing upon non-numerical examples and scenarios from both psychological literature and everyday life to explain key statistical concepts. Learn about the methods for testing populations and samples, standard errors, inferential and descriptive statistics as well as variables and participants. This is an ideal companion to core textbooks and will serve a clearer understanding of statistical methods in psychology. By reading this book students can hope to gain a better sense of what makes empirically valid research and learn to critically evaluate facts and figure in any presented research. The foundations of psychology's claims are the empiricism of well-conducted and reliable data.
Download or read book The Cambridge Handbook of Computing Education Research written by Sally A. Fincher and published by . This book was released on 2019-02-13 with total page 924 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Download or read book Numerical Methods in Biomedical Engineering written by Stanley Dunn and published by Elsevier. This book was released on 2005-11-21 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics. Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout Extensive hands-on homework exercises
Download or read book Robust Statistical Procedures written by Peter J. Huber and published by SIAM. This book was released on 1996-01-01 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition.
