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This book focuses on R applications in the quantitative investment area. It includes R applications with cases on topics like portfolio optimization and risk management.
Improving students’ ability to tackle mathematical problems, this second edition retains the structure of its predecessor while expanding and updating the content of each chapter.
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors.
This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics
This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics
Offers an introduction to investigative methods that, in addition to outlining statistical principles and describing methods of calculations,... Læs mere
Incorporates the use of Mathematica[registered] in various applications. This work also includes examples on HIV, the rate of carbon dioxide emission to the atmosphere, the manufacture of silicon chips, and the dynamics of hot air balloons and rockets.
Although powerful and very popular in science and engineering, Mathematica can be difficult to learn because of its large command structure and intricate syntax. This... Læs mere