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3832 кн.
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 second edition of <i>Fundamentals of Predictive Analytics with JMP(R)</i> 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...
| Автор | B. D. McCullough |
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...
| Автор | Brenda S. Ramirez, M.S. |
Analyze your biostatistics data with JMP! <p> Trevor Bihl's <i>Biostatistics Using JMP: A Practical Guide</i> 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. <p> The first biostatistical book to focus on software,...
| Автор | Trevor Bihl |
Strategies for Formulations Development: A Step-by-Step Guide Using JMP is based on the authors' significant practical experience partnering with scientists to develop strategies to accelerate the formulation (mixtures) development process. The authors not only explain the most important methods used to design and analyze formulation experiments, but they also present overall strategies to enhance both the efficiency and effectiveness of the development process. With this book you will be...
| Автор | Ronald Snee |
Create compelling business infographics with SAS and familiar office productivity tools. A picture is worth a thousand words, but what if there are a billion words? When analyzing big data, you need a picture that cuts through the noise. This is where infographics come in. Infographics are a representation of information in a graphic format designed to make the data easily understandable. With infographics, you don’t need deep knowledge of the data. The infographic combines story telling with...
| Автор | Travis Murphy |
Find guidance on using SAS for multiple imputation and solving common missing data issues. Multiple Imputation of Missing Data Using SAS provides both theoretical background and constructive solutions for those working with incomplete data sets in an engaging example-driven format. It offers practical instruction on the use of SAS for multiple imputation and provides numerous examples that use a variety of public release data sets with applications to survey data. Written for...
| Автор | Patricia Berglund |
Understanding your customers is the key to your company’s success! Segmentation is one of the first and most basic machine learning methods. It can be used by companies to understand their customers better, boost relevance of marketing messaging, and increase efficacy of predictive models. In Customer Segmentation and Clustering Using SAS Enterprise Miner, Third Edition, Randy Collica explains, in step-by-step fashion, the most commonly available techniques for segmentation using the...
| Автор | Randall S. Collica |
Using Applied Econometrics with SAS: Modeling Demand, Supply, and Risk , you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering...
| Автор | Barry K. Goodwin |
Learn to write SAS programs quickly and efficiently. Programming in SAS is flexible, but it can also be overwhelming. Many novice and experienced programmers learn how to write programs that use the DATA step and macros, but they often don’t realize that a simpler or better way can achieve the same results. In a user-friendly tutorial style, [i]Practical and Efficient SAS Programming: The Insider's Guide provides general SAS programming tips that use the tools available in Base SAS,...
| Автор | Martha Messineo |
Norm O'Rourke, Ph.D. и др.
This easy-to-understand guide makes SEM accessible to all users. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.
| Автор | Norm O'Rourke, Ph.D. и др. |
This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. Today’s businesses increasingly use data to drive decisions that keep them competitive. Especially with the influx of big data, the importance of data analysis to improve every dimension of business cannot be overstated. Data analysts are therefore in demand; however, many...
| Автор | Olivia Parr-Rud |
[b]Find errors and clean up data easily using SAS! [/b] Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition , addresses tasks that nearly every data analyst needs to do – that is, make sure that data errors are located and corrected. Written in Ron Cody's signature informal, tutorial style, this book develops and demonstrates data cleaning programs and macros that you can use as written or modify which will make your job of data cleaning easier, faster, and...
| Автор | Ron Cody |
Norm O'Rourke, Ph.D. и др.
JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition, is the perfect mix of software manual and statistics text. Authors John Sall, Ann Lehman, Mia Stephens, and Lee Creighton provide 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...
| Автор | Norm O'Rourke, Ph.D. и др. |
SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures...
| Автор | Sanjay Matange |
Enhance your SAS data-wrangling skills with high-precision and parallel data manipulation using the DS2 programming language. Now in its second edition, this book addresses the DS2 programming language from SAS, which combines the precise procedural power and control of the Base SAS DATA step language with the simplicity and flexibility of SQL. DS2 provides simple, safe syntax for performing complex data transformations in parallel and enables manipulation of native database data types at...
| Автор | Mark Jordan |
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples are included in full detail. This book also explains the differences and...
| Автор | Paul D. Allison |
When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. <i>An Introduction to SAS Visual Analytics</i> will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code – unless you want to! You will be able to use SAS Visual Analytics to access, prepare, and present your data to...
| Автор | Tricia Aanderud |
Hash tables can do a lot more than you might think! <I>Data Management Solutions Using SAS Hash Table Operations: A Business Intelligence Case Study</I> concentrates on solving your challenging data management and analysis problems via the power of the SAS hash object, whose environment and tools make it possible to create complete dynamic solutions. To this end, this book provides an in-depth overview of the hash table as an in-memory database with the CRUD (Create, Retrieve,...
| Автор | Paul Dorfman |
Learn or refresh core statistical methods for business with SAS® and approach real business analytics issues and techniques using a practical approach that avoids complex mathematics and instead employs easy-to-follow explanations. Business Statistics Made Easy in SAS® is designed as a user-friendly, practice-oriented, introductory text to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an...
| Автор | Gregory Lee |
This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms.To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important...
| Автор | Moran Feldman |
This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods and quantum computation. It indicates how to apply quantum computation to problem solving, machine learning and quantum-like models to decision making — the core disciplines of artificial intelligence.Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning, quantum-like Bayesian...
| Автор | Andreas Miroslaus Wichert |
This book is specially written for students of Computer Engineering (CE) and Information Technology.<br><br>Also every one with interest in Database Management System can refer this book to get the knowledge about RDBMS.<br><br>It covers virtually most of core features and some of the advanced features of RDBMS for administrator development including more than hands on examples tested through Oracle 9i. Most of code samples are presented in easy to use through Oracle....
| Автор | Jitendra Inc. Patel |
The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating ordered structure models (2D and 3D) like regular geometric shapes, complex shapes like fractals and cellular automata, and biological systems as the organs of a living body. Informational biologists...
| Автор | Alberto Strumia |
Software Engineering and Object Oriented Modeling: This book is specially written for those who are interested in understanding software engineering and Object Oriented Modeling concepts using UML in the Computer Engineering and Information technology field and want to gain enhanced knowledge about the power of UML Language in software development. <br><br>Also everyone with interest in learning UML for Software Engineering for application development can refer to this book to get...
| Автор | Jitendra JD Patel |