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This book covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single and short book.... Læs mere
It covers the creation of datasets in SAS, debugging a program, the overall construction of a SAS program, all DATA Step operations, t-tests,... Læs mere
This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this guide is recommended to new or intermediate R Markdown users.
A short, accessible workbook detailing how to make the best use of the EQS software, often used in psychological and behavioural research. It has... Læs mere
This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in... Læs mere
This book takes the reader through the basics of using the R statistical programming environment for data analysis using a series of case studies based around tasks that answer real research questions using publicly available molecular biology datasets.
S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on... Læs mere
Treats the topics of multiple comparisons, simultaneous and selective inference from avariety of different perspectives. The need for a systematic treatment of the... Læs mere