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Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics
Written in a ... | | Solutions Manual to accompany Nonlinear Programming: Theory and Algorithms
As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis, ... | | Simulation and Optimization in Finance: Modeling with MATLAB, @Risk, or VBA
An introduction to the theory and practice of financial simulation and optimization
In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. ... |
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Introduction to Adobe Flash Professional CS6 with ACA Certification
Introduction to Adobe Flash Professional CS6 with ACA Certification, written by expert instructors, provides all the classroom tools needed to teach a complete certification program. Your students learn to design and maintain dynamic websites using Adobe Flash. This curriculum covers topics such as using layers to build animation ... | | An Introduction to Analysis of Financial Data with R
A complete set of statistical tools for beginning financial analysts from a leading authority
Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and... | | Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB
This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable ... |
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