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 Categorical Data Analysis Using SAS, Third Edition
Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate... | | Nonlinear Digital Filtering with Python: An Introduction
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing... | | Python Playground: Geeky Projects for the Curious Programmer
Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?
Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of... |
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Handbook of Statistics in Clinical Oncology (Fluid Power and Control Series)
This book compiles state-of-the-art statistical approaches to solving problems in clinical oncology, focusing on clinical trials in phases I, II, and III, as well as quality of life and economic analyses, and exploratory methods.
Examines trial design treatment based on toxicity and survival!
Featuring over 1000 references,... | | Extended Surface Heat Transfer
Extended surfaces, in the forms of longitudinal or radial fins or spines are ubiquitous
in applications where the need exists to enhance heat transfer between a surface and
an adjacent fluid. Applications range from very large scale, as with tubes in heat
exchangers, to the very small, as is the case for the temperature control of... | | Learning Bayesian Models with R
Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
About This Book
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Understand the principles of Bayesian Inference with less mathematical equations
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Learn state-of-the art Machine Learning methods
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Familiarize...
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Algorithms For Dummies (For Dummies (Computers))
Discover how algorithms shape and impact our digital world
All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to... | | Microsoft OneNote Step by Step
The quick way to learn Microsoft OneNote!
This is learning made easy. Get productive fast with OneNote and jump in wherever you need answers. Brisk lessons and colorful screenshots show you exactly what to do, step by step--and practice files help you build your skills.
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Access local and online...
| | The Optics of Life: A Biologist's Guide to Light in Nature
Optics--a field of physics focusing on the study of light--is also central to many areas of biology, including vision, ecology, botany, animal behavior, neurobiology, and molecular biology. The Optics of Life introduces the fundamentals of optics to biologists and nonphysicists, giving them the tools they need to successfully incorporate... |
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