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Data Management and Analysis Using JMP

studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics;

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Market Data Analysis Using JMP

useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book;

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JMP Connections

explanations break down the Connectivity platform and metrics in business terms to demystify data analysis and JMP while giving you a macro view of the;

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JMP Start Statistics

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;

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Data Management Essentials Using SAS and JMP

. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by;

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Data Management Essentials Using SAS and JMP

. You will find immediate guidance in navigating, exploring, visualizing, cleaning, formatting, and reporting on data using SAS and JMP. Step-by;

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JMP Means Business

each topic. Each example starts with a problem definition and data requirements, followed by a step-by-step analysis with JMP. Relevant output;

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining-including big data;

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Improving Health Care Quality Case Studi

sections, including: Background and Task Data and Data Management Analysis Summary Concepts and Tools Exercises and Discussion;

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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS

-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS enable the clinical trial team to take a proactive approach to data;

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Practical Data Analysis with JMP, Third Edition

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Practical Data Analysis with JMP, Third Edition

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Implementing CDISC Using SAS

Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to;

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Implementing CDISC Using SAS

Shostak have updated their popular Implementing CDISC Using SAS, the first comprehensive book on applying clinical research data and metadata to;

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Introduction to Statistics and Data Analysis (with JMP Printed Access Card)

INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces you to the study of statistics and data analysis by using real data and attention;

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JMP for Basic Univariate and Multivariate Statistics

Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields;

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Building Better Models with JMP Pro

in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP(r) Pro for building and applying analytic;

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Statistical Quality Control - Using MINITAB, R, JMP and Python

data encountered in real life situations to support each theoretical concept. Statistical Quality Control: Using MINITAB, R, JMP and Python;

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Fundamentals of Predictive Analytics with JMP, Second Edition

from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;

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Fundamentals of Predictive Analytics with JMP, Second Edition

from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;

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Modern Industrial Statistics

-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and;

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Modern Industrial Statistics - With Applications in R, MINITAB and JMP, 3e

procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles;

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Business Statistics for Competitive Advantage with Excel 2019 and JMP

The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to;

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Applied Reliability

test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded;

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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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Time Series Analysis and Forecasting by Example

each presented example in detail and explain the relevant theory while also focusing on the interpretation of results in data analysis;

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JSL Companion

-writing essentials, and JMP data structures. The next chapters provide the foundation for building an application and focus on creating reports;

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