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This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases.
This book provides practical applications of doubly classified models by using R syntax to generate the models. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models.
A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials.
This book is a self-guided tour of MATLAB for engineers and life scientists. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic.
This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. This approach allows... Læs mere
This book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and guidance.
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly.
This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from... Læs mere