Topics in Mathematical and Applied Statistics
| Author | : |
| Publisher | : |
| Total Pages | : 229 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Topics in Mathematical and Applied Statistics Book in PDF, ePub and Kindle
Topics In Mathematical And Applied Statistics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Topics In Mathematical And Applied Statistics PDF full book. Access full book title Topics In Mathematical And Applied Statistics.
Mathematical Statistics
| Author | : Peter J. Bickel |
| Publisher | : Chapman & Hall/CRC |
| Total Pages | : 0 |
| Release | : 2015 |
| Genre | : Business & Economics |
| ISBN | : 9781498722681 |
Download Mathematical Statistics Book in PDF, ePub and Kindle
This second volume focuses on inference in non- and semiparametric models, including topics in machine learning. It not only reexamines the procedures introduced in the authors' first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis. Numerous examples and problems illustrate statistical modeling and inference concepts. Measure theory is not required for understanding.
Topics in Contemporary Mathematical Analysis and Applications
| Author | : Hemen Dutta |
| Publisher | : CRC Press |
| Total Pages | : 339 |
| Release | : 2020-12-22 |
| Genre | : Mathematics |
| ISBN | : 1000204219 |
Download Topics in Contemporary Mathematical Analysis and Applications Book in PDF, ePub and Kindle
Topics in Contemporary Mathematical Analysis and Applications encompasses several contemporary topics in the field of mathematical analysis, their applications, and relevancies in other areas of research and study. The readers will find developments concerning the topics presented to a reasonable extent with various new problems for further study. Each chapter carefully presents the related problems and issues, methods of solutions, and their possible applications or relevancies in other scientific areas. Aims at enriching the understanding of methods, problems, and applications Offers an understanding of research problems by presenting the necessary developments in reasonable details Discusses applications and uses of operator theory, fixed-point theory, inequalities, bi-univalent functions, functional equations, and scalar-objective programming, and presents various associated problems and ways to solve such problems This book is written for individual researchers, educators, students, and department libraries.
Mathematical Statistics with Resampling and R
| Author | : Laura M. Chihara |
| Publisher | : John Wiley & Sons |
| Total Pages | : 560 |
| Release | : 2018-09-17 |
| Genre | : Mathematics |
| ISBN | : 1119416523 |
Download Mathematical Statistics with Resampling and R Book in PDF, ePub and Kindle
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.
Examples and Problems in Mathematical Statistics
| Author | : Shelemyahu Zacks |
| Publisher | : John Wiley & Sons |
| Total Pages | : 499 |
| Release | : 2013-12-17 |
| Genre | : Mathematics |
| ISBN | : 1118605837 |
Download Examples and Problems in Mathematical Statistics Book in PDF, ePub and Kindle
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.
Modern Applied Statistics with S
| Author | : W.N. Venables |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 501 |
| Release | : 2013-03-09 |
| Genre | : Mathematics |
| ISBN | : 0387217061 |
Download Modern Applied Statistics with S Book in PDF, ePub and Kindle
A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
Topics in Theoretical and Applied Statistics
| Author | : Giorgio Alleva |
| Publisher | : Springer |
| Total Pages | : 306 |
| Release | : 2016-05-19 |
| Genre | : Mathematics |
| ISBN | : 3319272748 |
Download Topics in Theoretical and Applied Statistics Book in PDF, ePub and Kindle
This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.
Applied Statistics
| Author | : Dieter Rasch |
| Publisher | : John Wiley & Sons |
| Total Pages | : 650 |
| Release | : 2019-08-14 |
| Genre | : Mathematics |
| ISBN | : 1119551544 |
Download Applied Statistics Book in PDF, ePub and Kindle
Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.
Topics in Applied Statistics
| Author | : Mingxiu Hu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 340 |
| Release | : 2013-09-14 |
| Genre | : Medical |
| ISBN | : 1461478464 |
Download Topics in Applied Statistics Book in PDF, ePub and Kindle
This volume presents 27 selected papers in topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers that cover many topics so that the volume will serve the whole statistical community and a variety of research interests. The papers represent select contributions to the 21st ICSA Applied Statistics Symposium. The International Chinese Statistical Association (ICSA) Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. It was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the inaugural proceedings volume to share research from the ICSA Applied Statistics Symposium.
Mathematical Statistics with Applications in R
| Author | : Kandethody M. Ramachandran |
| Publisher | : Elsevier |
| Total Pages | : 825 |
| Release | : 2014-09-14 |
| Genre | : Mathematics |
| ISBN | : 012417132X |
Download Mathematical Statistics with Applications in R Book in PDF, ePub and Kindle
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
