Discover best practices for real world data research with SAS code and examplesReal world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials.
Master the concepts and techniques of statistical analysis using JMPPractical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis.
Master the concepts and techniques of statistical analysis using JMPPractical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis.
The ambit of this book on Management Information System covers all the major areas and the segment analysis provided in the syllabi of the major universities as well as of the professional bodies.
Geographic information systems (GIS) is a rapidly advancing field that has become thoroughly integrated into our society and inseparable from our daily lives.
This book will serve as a framework for you as a software engineer seeking a fulfilling career and wishing to stay passionate and maintain a healthy mental state.
In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success.
With the recent debacle surrounding the cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of grasping the security and regulation of Web3, cryptocurrency, and blockchain projects has been magnified.
Explore biostatistics using JMP(R) in this refreshing introductionPresented 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.
Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data.
Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data.
Choose statistically significant stock selection models using SAS(R)Portfolio and Investment Analysis with SAS : Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean.
Choose statistically significant stock selection models using SASPortfolio and Investment Analysis with SAS: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean.
