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Statistics With Jmp Hypothesis Tests Anova And Regression

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Statistics With Jmp Hypothesis Tests Anova And Regression

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Author : Peter Goos
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-16

Statistics With Jmp Hypothesis Tests Anova And Regression written by Peter Goos 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 2016-02-16 with Mathematics categories.

Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested. Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values). Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic. Promotes the use of graphs and confidence intervals in addition to p-values. Course materials and tutorials for teaching are available on the book's companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.

Statistics With Jmp Hypothesis Tests Anova And Regression

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Author : Peter Goos
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-16

Statistics With Jmp

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Author : Peter Goos
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-30

Statistics With Jmp written by Peter Goos 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 2015-01-30 with Mathematics categories.

Peter Goos, Department of Statistics, University of Leuven, Faculty of Bio-Science Engineering and University of Antwerp, Faculty of Applied Economics, Belgium David Meintrup, Department of Mathematics and Statistics, University of Applied Sciences Ingolstadt, Faculty of Mechanical Engineering, Germany Thorough presentation of introductory statistics and probability theory, with numerous examples and applications using JMP JMP: Graphs, Descriptive Statistics and Probability provides an accessible and thorough overview of the most important descriptive statistics for nominal, ordinal and quantitative data with particular attention to graphical representations. The authors distinguish their approach from many modern textbooks on descriptive statistics and probability theory by offering a combination of theoretical and mathematical depth, and clear and detailed explanations of concepts. Throughout the book, the user-friendly, interactive statistical software package JMP is used for calculations, the computation of probabilities and the creation of figures. The examples are explained in detail, and accompanied by step-by-step instructions and screenshots. The reader will therefore develop an understanding of both the statistical theory and its applications. Traditional graphs such as needle charts, histograms and pie charts are included, as well as the more modern mosaic plots, bubble plots and heat maps. The authors discuss probability theory, particularly discrete probability distributions and continuous probability densities, including the binomial and Poisson distributions, and the exponential, normal and lognormal densities. They use numerous examples throughout to illustrate these distributions and densities. Key features: Introduces each concept with practical examples and demonstrations in JMP. Provides the statistical theory including detailed mathematical derivations. Presents illustrative examples in each chapter accompanied by step-by-step instructions and screenshots to help develop the reader’s understanding of both the statistical theory and its applications. A supporting website with data sets and other teaching materials. This book is equally aimed at students in engineering, economics and natural sciences who take classes in statistics as well as at masters/advanced students in applied statistics and probability theory. For teachers of applied statistics, this book provides a rich resource of course material, examples and applications.

Jmp For Basic Univariate And Multivariate Statistics

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Author : Ann Lehman, PhD
language : en
Publisher: SAS Institute
Release Date : 2013-04-16

Jmp For Basic Univariate And Multivariate Statistics written by Ann Lehman, PhD and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-16 with Computers categories.

Updated for JMP 10, the book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises.

Empirical Studies On The Development Of Executable Business Processes

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Author : Daniel Lübke
language : en
Publisher: Springer
Release Date : 2019-07-26

Empirical Studies On The Development Of Executable Business Processes written by Daniel Lübke and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Computers categories.

This book collects essential research on the practical application of executable business process modeling in real-world projects, i.e., model-driven solutions for the support and automation of digital business processes that are created using languages such as BPEL or BPMN. It mainly focuses on empirical research, but also includes an up-to-date cross-section of case studies in order to assess examples of BPM’s practical impact in the industry. On the one hand, executable models are formally and precisely defined so that computers can interpret and execute them; on the other, they are visualized so that humans can describe, document and optimize business processes at a higher level of abstraction than with traditional textual programming languages. While these important research areas have long been separated from one another, this book is an attempt at cross-fertilization, driven by the insight that business processes are the software behind today’s digital organizations, and that achieving a precise representation of such processes is key to their reliable execution. Consequently, the book presents various case studies and experiments that investigate questions of interest to both academia (e.g., identifying challenges for which no solution exists; sharing new insights into how existing approaches are actually used) and industry (e.g., guidelines on using certain technologies and on modeling comprehensible and executable processes). Both researchers and practitioners will benefit from the presentation of how concepts are transformed into working solutions. The studies are presented in a structured manner and with sufficient rigor to be considered empirical research, further enhancing the book’s value for the research community, while practitioners will find concrete guidance on making the right decisions for their projects.

Fundamentals Of Predictive Analytics With Jmp Second Edition

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Author : Ron Klimberg
language : en
Publisher: SAS Institute
Release Date : 2017-12-19

Fundamentals Of Predictive Analytics With Jmp Second Edition written by Ron Klimberg and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.

Going beyond the theoretical foundation, this step-by-step book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. --

Biostatistics Using Jmp

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Author : Trevor Bihl
language : en
Publisher: SAS Institute
Release Date : 2017-10-03

Biostatistics Using Jmp written by Trevor Bihl and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Computers categories.

Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

Fundamentals Of Predictive Analytics With Jmp Third Edition

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Author : Ron Klimberg
language : en
Publisher: SAS Institute
Release Date : 2023-04-18

Fundamentals Of Predictive Analytics With Jmp Third Edition written by Ron Klimberg and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-18 with Computers categories.

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. Using JMP 17, this book discusses the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison time series forecasting With a new, expansive chapter on time series forecasting and more exercises to test your skills, this third edition is invaluable to those who need to expand their knowledge of statistics and apply real-world, problem-solving analysis.

Business Statistics For Competitive Advantage With Excel 2019 And Jmp

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Author : Cynthia Fraser
language : en
Publisher: Springer
Release Date : 2019-08-02

Business Statistics For Competitive Advantage With Excel 2019 And Jmp written by Cynthia Fraser and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Business & Economics categories.

The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers. The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods. The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP. For access to accompanying data sets, please email author Cynthia Fraser at [email protected].

Quantitative Approaches To Plant Breeding Concepts Strategies And Practical Applications

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Author : Suchismita Mondal
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-31

Quantitative Approaches To Plant Breeding Concepts Strategies And Practical Applications written by Suchismita Mondal and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Science categories.

Statistics With Jmp Hypothesis Tests Anova And Regression

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