Applied Statistical Inference with MINITAB (R), Second Edition, Lesik, Sally A. (Central Connecticut State University, New Britain, USA)
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.
Автор: Gupta Bhisham C. Название: Statistical Quality Control: Using Minitab, R, Jmp and Python ISBN: 1119671639 ISBN-13(EAN): 9781119671633 Издательство: Wiley Рейтинг: Цена: 15832.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Provides a basic understanding of statistical quality control (SQC) and demonstrates how to apply the techniques of SQC to improve the quality of products in various sectors
This book introduces Statistical Quality Control and the elements of Six Sigma Methodology, illustrating the widespread applications that both have for a multitude of areas, including manufacturing, finance, transportation, and more. It places emphasis on both the theory and application of various SQC techniques and offers a large number of examples using data encountered in real life situations to support each theoretical concept.
Statistical Quality Control: Using MINITAB, R, JMP and Python begins with a brief discussion of the different types of data encountered in various fields of statistical applications and introduces graphical and numerical tools needed to conduct preliminary analysis of the data. It then discusses the basic concept of statistical quality control (SQC) and Six Sigma Methodology and examines the different types of sampling methods encountered when sampling schemes are used to study certain populations. The book also covers Phase 1 Control Charts for variables and attributes; Phase II Control Charts to detect small shifts; the various types of Process Capability Indices (CPI); certain aspects of Measurement System Analysis (MSA); various aspects of PRE-control; and more. This helpful guide also:
Focuses on the learning and understanding of statistical quality control for second and third year undergraduates and practitioners in the field
Discusses aspects of Six Sigma Methodology
Teaches readers to use MINITAB, R, JMP and Python to create and analyze charts
Requires no previous knowledge of statistical theory
Is supplemented by an instructor-only book companion site featuring data sets and a solutions manual to all problems, as well as a student book companion site that includes data sets and a solutions manual to all odd-numbered problems
Statistical Quality Control Using MINITAB, R, JMP and Python is an excellent book for students studying engineering, statistics, management studies, and other related fields and who are interested in learning various techniques of statistical quality control. It also serves as a desk reference for practitioners who work to improve quality in various sectors, such as manufacturing, service, transportation, medical, oil, and financial institutions. It's also useful for those who use Six Sigma techniques to improve the quality of products in such areas.
Автор: Fleming/Nellis Название: Principles Applied Statistics Ed2:Minitab & Excel ISBN: 1861525869 ISBN-13(EAN): 9781861525864 Издательство: Cengage Learning Рейтинг: Цена: 13462.00 р. Наличие на складе: Нет в наличии.
Описание: Designed for those who need a comprehensive introduction to the principles of statistical methods and their applications, this text presents step-by-step worked examples that are used to illustrate the use of statistical techniques in solving practical problems while self-study exercises test students` knowledge.
Автор: James E. De Muth Название: Practical Statistics for Pharmaceutical Analysis ISBN: 3030339882 ISBN-13(EAN): 9783030339883 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provides for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package).The book is specifically designed to contribute to the AAPS series on advances in the pharmaceutical sciences. It benefits professional scientists or graduate students who have not had a formal statistics class, who had bad experiences in such classes, or who just fear/don’t understand statistics. Chapter 1 focuses on terminology and essential elements of statistical testing. Statistics is often complicated by synonyms and this chapter established the terms used in the book and how rudiments interact to create statistical tests. Chapter 2 discussed descriptive statistics that are used to organize and summarize sample results. Chapter 3 discussed basic assumptions of probability, characteristics of a normal distribution, alternative approaches for non-normal distributions and introduces the topic of making inferences about a larger population based on a small sample from that population. Chapter 4 discussed hypothesis testing where computer output is interpreted and decisions are made regarding statistical significance. This chapter also deasl with the determination of appropriate sample sizes. The next three chapters focus on tests that make decisions about a population base on a small subset of information. Chapter 5 looks at statistical tests that evaluate where a significant difference exists. In Chapter 6 the tests try to determine the extent and importance of relationships. In contrast to fifth chapter, Chapter 7 presents tests that evaluate the equivalence, not the difference between levels being tested. The last chapter deals with potential outlier or aberrant values and how to statistically determine if they should be removed from the sample data.Each statistical test presented includes an example problem with the resultant software output and how to interpret the results. Minimal time is spent on the mathematical calculations or theory. For those interested in the associated equations, supplemental figures are presented for each test with respective formulas. In addition, Appendix D presents the equations and proof for every output result for the various examples.Examples and results from the appropriate statistical results are displayed using Minitab 18?. In addition to the results, the required steps to analyze data using Minitab are presented with the examples for those having access to this software. Numerous other software packages are available, including based data analysis with Excel.
Автор: Wackerly/Mendenhall/Scheaffer Название: Bndl: Mathematical Statistics W/Applications W/ Minitab Rent ISBN: 0357778030 ISBN-13(EAN): 9780357778036 Издательство: Cengage Learning Рейтинг: Цена: 13146.00 р. Наличие на складе: Нет в наличии.
Автор: Greenfield Название: Design and Analyse Your Experiment Using Minitab ISBN: 0470711140 ISBN-13(EAN): 9780470711149 Издательство: Wiley Рейтинг: Цена: 7754.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions.
Автор: Utts/Heckard Название: Bndl: Mind On Statistics W/ Minitab Rental ISBN: 0357777735 ISBN-13(EAN): 9780357777732 Издательство: Cengage Learning Рейтинг: Цена: 26189.00 р. Наличие на складе: Нет в наличии.
Автор: Kenett Ron S., Zacks Shelemyahu Название: Modern Industrial Statistics, Third Edition ISBN: 1119714907 ISBN-13(EAN): 9781119714903 Издательство: Wiley Рейтинг: Цена: 12189.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modern Industrial Statistics
The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches
Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications.
The fully revised third edition covers the latest techniques in R, MINITAB and JMP, and features brand-new coverage of time series analysis, predictive analytics and Bayesian inference. New and expanded simulation activities, examples, and case studies--drawn from the electronics, metal work, pharmaceutical, and financial industries--are complemented by additional computer and modeling methods. Helping readers develop skills for modeling data and designing experiments, this comprehensive volume:
Explains the use of computer-based methods such as bootstrapping and data visualization
Covers nonstandard techniques and applications of industrial statistical process control (SPC) charts
Contains numerous problems, exercises, and data sets representing real-life case studies of statistical work in various business and industry settings
Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable appendices
Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book
Part of the acclaimed Statistics in Practice series, Modern Industrial Statistics with Applications in R, MINITAB, and JMP, Third Edition, is the perfect textbook for advanced undergraduate and postgraduate courses in the areas of industrial statistics, quality and reliability engineering, and an important reference for industrial statisticians, researchers, and practitioners in related fields. The mistat R-package is available from the R CRAN repository.
Описание: This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. It is developed for undergraduate students in agriculture, nursing, biology and biomedical research.
Автор: Hwang, J Название: Reliability Analysis Using MINITAB and Python ISBN: 1119870763 ISBN-13(EAN): 9781119870760 Издательство: Wiley Рейтинг: Цена: 15602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Wiley Study Guides for the Level II CFA exam are proven to help candidates understand, retain, and master the CFA Program Curriculum, complete with color-coded Study Guides and coverage of every Learning Outcome Statement on the exam.
Автор: Zafar Paracha Usman Название: Colorful Statistics with Basic Steps in Minitab(R) 19 ISBN: 1686592345 ISBN-13(EAN): 9781686592348 Издательство: Неизвестно Цена: 14060.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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