Market Data Analysis Using Jmp

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Market Data Analysis Using JMP

Author : Walter R. Paczkowski
Publisher : SAS Institute
ISBN 13 : 1629604852
Total Pages : 956 pages
Book Rating : 4.6/5 (296 download)

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Book Synopsis Market Data Analysis Using JMP by : Walter R. Paczkowski

Download or read book Market Data Analysis Using JMP written by Walter R. Paczkowski and published by SAS Institute. This book was released on 2018-02-05 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world. This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data. After reading this book, you will be able to quickly and effortlessly use JMP to: prepare market data for analysis use and interpret sophisticated statistical methods build choice models estimate regression models to turn data into useful and actionable information Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!

Fundamentals of Predictive Analytics with JMP, Second Edition

Author : Ron Klimberg
Publisher : SAS Institute
ISBN 13 : 1629608033
Total Pages : 406 pages
Book Rating : 4.6/5 (296 download)

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Book Synopsis Fundamentals of Predictive Analytics with JMP, Second Edition by : Ron Klimberg

Download or read book Fundamentals of Predictive Analytics with JMP, Second Edition written by Ron Klimberg and published by SAS Institute. This book was released on 2017-12-19 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. --

Analyzing and Interpreting Continuous Data Using JMP

Author : José G.. Ramírez
Publisher : SAS Press
ISBN 13 : 9781599944883
Total Pages : 474 pages
Book Rating : 4.9/5 (448 download)

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Book Synopsis Analyzing and Interpreting Continuous Data Using JMP by : José G.. Ramírez

Download or read book Analyzing and Interpreting Continuous Data Using JMP written by José G.. Ramírez and published by SAS Press. This book was released on 2009 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on real-world applications, this resource combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. This step-by-step format enables users new to statistics or JMP to learn as they go.

Practical Data Analysis with JMP, Third Edition

Author : Robert Carver
Publisher : SAS Institute
ISBN 13 : 1642956120
Total Pages : 510 pages
Book Rating : 4.6/5 (429 download)

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Book Synopsis Practical Data Analysis with JMP, Third Edition by : Robert Carver

Download or read book Practical Data Analysis with JMP, Third Edition written by Robert Carver and published by SAS Institute. This book was released on 2019-10-18 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot.

Discovering Partial Least Squares with JMP

Author : Ian Cox
Publisher : SAS Institute
ISBN 13 : 1629590924
Total Pages : 308 pages
Book Rating : 4.6/5 (295 download)

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Book Synopsis Discovering Partial Least Squares with JMP by : Ian Cox

Download or read book Discovering Partial Least Squares with JMP written by Ian Cox and published by SAS Institute. This book was released on 2013-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores Partial Least Squares and positions it within the more general context of multivariate analysis. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.

JMP Start Statistics

Author : John Sall
Publisher : SAS Institute
ISBN 13 : 1629608769
Total Pages : 660 pages
Book Rating : 4.6/5 (296 download)

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Book Synopsis JMP Start Statistics by : John Sall

Download or read book JMP Start Statistics written by John Sall and published by SAS Institute. This book was released on 2017-02-21 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

Practical Data Analysis with JMP

Author : Robert Carver
Publisher : SAS Press
ISBN 13 : 9781607644750
Total Pages : 0 pages
Book Rating : 4.6/5 (447 download)

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Book Synopsis Practical Data Analysis with JMP by : Robert Carver

Download or read book Practical Data Analysis with JMP written by Robert Carver and published by SAS Press. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical Data Analysis with JMP" uses the powerful interactive and visual approach of JMP to introduce readers to the logic and methods of statistical thinking and data analysis. The book can stand on its own or be used to supplement a standard introduction-to-statistics textbook.

Preparing Data for Analysis with JMP

Author : Robert Carver
Publisher : SAS Institute
ISBN 13 : 1635261481
Total Pages : 216 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Preparing Data for Analysis with JMP by : Robert Carver

Download or read book Preparing Data for Analysis with JMP written by Robert Carver and published by SAS Institute. This book was released on 2017-05-01 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and even innovative data-preparation capabilities that enable you to make the most of your organization's data. Preparing Data for Analysis with JMP® is organized within a framework of statistical investigations and model-building and illustrates the new data-handling features in JMP, such as the Query Builder. Useful to students and programmers with little or no JMP experience, or those looking to learn the new data-management features and techniques, it uses a practical approach to getting started with plenty of examples. Using step-by-step demonstrations and screenshots, this book walks you through the most commonly used data-management techniques that also include lots of tips on how to avoid common problems. With this book, you will learn how to: Manage database operations using the JMP Query Builder Get data into JMP from other formats, such as Excel, csv, SAS, HTML, JSON, and the web Identify and avoid problems with the help of JMP’s visual and automated data-exploration tools Consolidate data from multiple sources with Query Builder for tables Deal with common issues and repairs that include the following tasks: reshaping tables (stack/unstack) managing missing data with techniques such as imputation and Principal Components Analysis cleaning and correcting dirty data computing new variables transforming variables for modelling reconciling time and date Subset and filter your data Save data tables for exchange with other platforms

Business Statistics for Competitive Advantage with Excel and JMP

Author : Cynthia Fraser
Publisher : Springer Nature
ISBN 13 : 3031425553
Total Pages : 291 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Business Statistics for Competitive Advantage with Excel and JMP by : Cynthia Fraser

Download or read book Business Statistics for Competitive Advantage with Excel and JMP written by Cynthia Fraser and published by Springer Nature. This book was released on with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Building Better Models with JMP Pro

Author : Jim Grayson
Publisher : SAS Institute
ISBN 13 : 1629599565
Total Pages : 358 pages
Book Rating : 4.6/5 (295 download)

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Book Synopsis Building Better Models with JMP Pro by : Jim Grayson

Download or read book Building Better Models with JMP Pro written by Jim Grayson and published by SAS Institute. This book was released on 2015-08-01 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed. Make more informed decisions from your data using this newest JMP book.

Introduction to Biostatistics with JMP

Author : Steve Figard
Publisher : SAS Institute
ISBN 13 : 1635267188
Total Pages : 229 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Introduction to Biostatistics with JMP by : Steve Figard

Download or read book Introduction to Biostatistics with JMP written by Steve Figard and published by SAS Institute. This book was released on 2019-10-04 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

Biostatistics Using JMP

Author : Trevor Bihl
Publisher : SAS Institute
ISBN 13 : 1635262410
Total Pages : 356 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Biostatistics Using JMP by : Trevor Bihl

Download or read book Biostatistics Using JMP written by Trevor Bihl and published by SAS Institute. This book was released on 2017-10-03 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Douglas Montgomery's Introduction to Statistical Quality Control

Author : Brenda S. Ramirez, M.S.
Publisher : SAS Institute
ISBN 13 : 1635268230
Total Pages : 417 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Douglas Montgomery's Introduction to Statistical Quality Control by : Brenda S. Ramirez, M.S.

Download or read book Douglas Montgomery's Introduction to Statistical Quality Control written by Brenda S. Ramirez, M.S. and published by SAS Institute. This book was released on 2018-10-04 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book. The authors combine their many years of experience as passionate practitioners of SQC and their expertise using JMP to highlight the recent advances in JMP’s Analyze menu, and in particular, Quality and Process. Key JMP platforms include: Control Chart Builder CUSUM Control Chart Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM) Process Screening Process Capability Measurement System Analysis Time Series Multivariate Control Chart Multivariate and Principal Components Distribution For anyone who wants to learn how to use JMP to more easily explore data using tools associated with Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Advanced Statistical Process Control, and Process Health Assessment, this book is a must!

Pricing Analytics

Author : Walter R. Paczkowski
Publisher : Routledge
ISBN 13 : 1351713094
Total Pages : 318 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Pricing Analytics by : Walter R. Paczkowski

Download or read book Pricing Analytics written by Walter R. Paczkowski and published by Routledge. This book was released on 2018-06-27 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.

Statistical Data Analysis Using SAS

Author : Mervyn G. Marasinghe
Publisher : Springer
ISBN 13 : 3319692399
Total Pages : 688 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Statistical Data Analysis Using SAS by : Mervyn G. Marasinghe

Download or read book Statistical Data Analysis Using SAS written by Mervyn G. Marasinghe and published by Springer. This book was released on 2018-04-12 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: • Covers SAS v9.2 and incorporates new commands • Uses SAS ODS (output delivery system) for reproduction of tables and graphics output • Presents new commands needed to produce ODS output • All chapters rewritten for clarity • New and updated examples throughout • All SAS outputs are new and updated, including graphics • More exercises and problems • Completely new chapter on analysis of nonlinear and generalized linear models • Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Statistics and Probability with Applications for Engineers and Scientists

Author : Bhisham C. Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1118464044
Total Pages : 896 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Statistics and Probability with Applications for Engineers and Scientists by : Bhisham C. Gupta

Download or read book Statistics and Probability with Applications for Engineers and Scientists written by Bhisham C. Gupta and published by John Wiley & Sons. This book was released on 2013-04-29 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.