Living Without Mathematical Statistics

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Publisher : Springer
ISBN 13 : 3319996320
Total Pages : 507 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Living Without Mathematical Statistics by : Herbert Ruefer

Download or read book Living Without Mathematical Statistics written by Herbert Ruefer and published by Springer. This book was released on 2018-09-28 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: The underlying principles invented and developed by Dr. Genichi Taguchi (1924 - 2012), for the design of experiments or simulation calculations in multi-parameter systems, are today known as Taguchi Method. Due to the great success, it was extended to many other areas. The book explains the basics of this method in as much detail as necessary and as simply and graphically as possible. The author shows how broad the current application spectrum is and for which different tasks it can be used. The application examples range from optimizing a fermentation process in biotechnology to minimizing costs in mechanical production and maintaining and improving competitiveness in industrial production. The processes described are ideally suited to finding reliable and precise solutions for a wide variety of problems relatively quickly. A real competitive advantage not only in research but also for companies that want to remain competitive in international business competition. Contents Part 1: Analysis of Variables Part 2: Pattern Recognition and Diagnosis Part 3: Prognosis Target groups Students, scientists, engineers or those responsible for development and products learn to use the Taguchi Method with this book - even without any previous mathematical-statistical knowledge. The author Herbert Ruefer studied physics and obtained his doctorate at the Technical University Karlsruhe, Germany. After a research stay at IBM, San Jose, California, he taught at the San Marcos National University in Lima, Peru. He then took on research, development, and training tasks in the chemical industry in Germany. During this time, the first personal contacts with Dr. Genichi Taguchi and Dr. Yuin Wu took place. After his active professional life, he dedicated himself to special optical methods for astronomical observations. He also lectures at the Universidad Nacional Mayor de San Marcos which awarded him an honorary doctorate in 2017.

Living Without Mathematical Statistics

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Publisher :
ISBN 13 : 9783319996332
Total Pages : 507 pages
Book Rating : 4.9/5 (963 download)

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Book Synopsis Living Without Mathematical Statistics by : Herbert Ruefer

Download or read book Living Without Mathematical Statistics written by Herbert Ruefer and published by . This book was released on 2019 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides structured access to gaining accurate results of limited data applicable to science, technology, and manufacturing. The Taguchi Method is presented in every detail and also put into practice. The basic principle was developed in the 1950's. Dr. Genichi Taguchi (1924 to 2012) kept perfecting his method until 2006, and it has been brought up-to-date until now. The main purpose of this book is to make the above knowledge available to a wide range of people of different backgrounds, regardless of their fields of expertise.

Statistics Without Math

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Publisher : Sinauer Associates Incorporated
ISBN 13 : 9780878935062
Total Pages : 136 pages
Book Rating : 4.9/5 (35 download)

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Book Synopsis Statistics Without Math by : William E. Magnusson

Download or read book Statistics Without Math written by William E. Magnusson and published by Sinauer Associates Incorporated. This book was released on 2004 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics without Math is not your typical statistics book; nor is it designed to serve as a substitute for conventional statistical texts. Experience with ecology students and researchers has shown that too much mathematical detail diverts attention away from basic logical concepts, resulting in errors in sampling design, data analysis, and comprehension of the ecological literature. Hence, this book starts with real-world observations and explains how statistics may be used as a practical tool to answer questions about them, and to clearly communicate these results. The book targets intermediate-level statistics (given short shrift in most books and courses), and teaches concepts with a minimum of mathematical detail, instead using simple graphs and, where necessary, analogy. This approach, class-tested for many years by the authors, has revolutionized students' ability to understand statistics.

How Not to Be Wrong

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Publisher : Penguin
ISBN 13 : 0143127535
Total Pages : 482 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis How Not to Be Wrong by : Jordan Ellenberg

Download or read book How Not to Be Wrong written by Jordan Ellenberg and published by Penguin. This book was released on 2015-05-26 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Witty, compelling, and just plain fun to read . . ." —Evelyn Lamb, Scientific American The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it. Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer? How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God. Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

Statistics without Mathematics

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Publisher : SAGE
ISBN 13 : 1473934338
Total Pages : 193 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis Statistics without Mathematics by : David J. Bartholomew

Download or read book Statistics without Mathematics written by David J. Bartholomew and published by SAGE. This book was released on 2015-10-19 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.

Applied Statistics I

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Publisher : SAGE Publications
ISBN 13 : 1506352820
Total Pages : 736 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Applied Statistics I by : Rebecca M. Warner

Download or read book Applied Statistics I written by Rebecca M. Warner and published by SAGE Publications. This book was released on 2020-01-14 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6

Statistics for Mathematicians

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Publisher : Birkhäuser
ISBN 13 : 3319283413
Total Pages : 190 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Statistics for Mathematicians by : Victor M. Panaretos

Download or read book Statistics for Mathematicians written by Victor M. Panaretos and published by Birkhäuser. This book was released on 2016-06-01 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a coherent introduction to the main concepts and methods of one-parameter statistical inference. Intended for students of Mathematics taking their first course in Statistics, the focus is on Statistics for Mathematicians rather than on Mathematical Statistics. The goal is not to focus on the mathematical/theoretical aspects of the subject, but rather to provide an introduction to the subject tailored to the mindset and tastes of Mathematics students, who are sometimes turned off by the informal nature of Statistics courses. This book can be used as the basis for an elementary semester-long first course on Statistics with a firm sense of direction that does not sacrifice rigor. The deeper goal of the text is to attract the attention of promising Mathematics students.

Essentials of Mathematical Statistics

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Publisher : Jones & Bartlett Publishers
ISBN 13 : 144968534X
Total Pages : 607 pages
Book Rating : 4.4/5 (496 download)

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Book Synopsis Essentials of Mathematical Statistics by : Brian Albright

Download or read book Essentials of Mathematical Statistics written by Brian Albright and published by Jones & Bartlett Publishers. This book was released on 2014 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.

All of Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis All of Statistics by : Larry Wasserman

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.

Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022)

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Publisher : Springer Nature
ISBN 13 : 9464630426
Total Pages : 1514 pages
Book Rating : 4.4/5 (646 download)

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Book Synopsis Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) by : Gaikar Vilas Bhau

Download or read book Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) written by Gaikar Vilas Bhau and published by Springer Nature. This book was released on 2022-12-22 with total page 1514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.

Mathematical Statistics with Resampling and R

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Publisher : John Wiley & Sons
ISBN 13 : 1119416523
Total Pages : 560 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Mathematical Statistics with Resampling and R by : Laura M. Chihara

Download or read book Mathematical Statistics with Resampling and R written by Laura M. Chihara and published by John Wiley & Sons. This book was released on 2018-09-17 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.

Mathematical Statistics and Data Analysis

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Publisher :
ISBN 13 : 9780495118688
Total Pages : 603 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Mathematical Statistics and Data Analysis by : John A. Rice

Download or read book Mathematical Statistics and Data Analysis written by John A. Rice and published by . This book was released on 2007 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings.

Examples and Problems in Mathematical Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 1118605837
Total Pages : 499 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Examples and Problems in Mathematical Statistics by : Shelemyahu Zacks

Download or read book Examples and Problems in Mathematical Statistics written by Shelemyahu Zacks and published by John Wiley & Sons. This book was released on 2013-12-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results. Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features: Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving More than 430 unique exercises with select solutions Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

Mathematical Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 0387227695
Total Pages : 467 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Mathematical Statistics by : George R. Terrell

Download or read book Mathematical Statistics written by George R. Terrell and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed, being developed as needed. The book is committed to both a high level of mathematical seriousness and to an intimate connection with application. In its teaching style, the book is * mathematically complete * concrete * constructive * active. The text is aimed at the upper undergraduate or the beginning Masters program level. It assumes the usual two-year college mathematics sequence, including an introduction to multiple integrals, matrix algebra, and infinite series.

Mathematical Statistics with Applications in R

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Publisher : Elsevier
ISBN 13 : 012417132X
Total Pages : 825 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Mathematical Statistics with Applications in R by : Kandethody M. Ramachandran

Download or read book Mathematical Statistics with Applications in R written by Kandethody M. Ramachandran and published by Elsevier. This book was released on 2014-09-14 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner.This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students.Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods

Mathematical Statistics with Mathematica

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Publisher : Springer
ISBN 13 : 9780387952345
Total Pages : 508 pages
Book Rating : 4.9/5 (523 download)

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Book Synopsis Mathematical Statistics with Mathematica by : Colin Rose

Download or read book Mathematical Statistics with Mathematica written by Colin Rose and published by Springer. This book was released on 2002 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.

The Fundamental Principles of Mathematical Statistics

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Publisher :
ISBN 13 :
Total Pages : 410 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Fundamental Principles of Mathematical Statistics by : Hugh Herbert Wolfenden

Download or read book The Fundamental Principles of Mathematical Statistics written by Hugh Herbert Wolfenden and published by . This book was released on 1942 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: