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Statistical Thinking for Non-Statisticians in Drug Regulation
Statistical Thinking for Non-Statisticians in Drug Regulation

Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection...

Statistical Signal Processing: Frequency Estimation (SpringerBriefs in Statistics)
Statistical Signal Processing: Frequency Estimation (SpringerBriefs in Statistics)

Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is...

Methodological Advances in Experimental Philosophy
Methodological Advances in Experimental Philosophy

Until recently, experimental philosophy has been associated with the questionnaire-based study of intuitions. This volume brings together established and emerging research leaders from several areas of experimental philosophy to explore how new empirical methods from the behavioural sciences and digital humanities can contribute to...

Interpreting and Visualizing Regression Models Using Stata
Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials,...

Utility-Based Learning from Data
Utility-Based Learning from Data

Statistical learning — that is, learning from data — and, in particular, probabilistic model learning have become increasingly important in recent years. Advances in information technology have facilitated an explosion of available data. This explosion has been accompanied by theoretical advances, permitting new and...

Fatigue of Structures and Materials
Fatigue of Structures and Materials
Fatigue of structures and materials covers a wide scope of different topics. The purpose of the present book is to explain these topics, to indicate how they can be analyzed, and how this can contribute to the designing of fatigue resistant structures and to prevent structural fatigue problems in service.

This book is...

Think Bayes
Think Bayes

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Microsoft Office 2003 All-in-One
Microsoft Office 2003 All-in-One
Learn to use the core Office applications, Web integration, and Windows XP quickly with ten manageable mini-books in one! Microsoft Office 2003 All-in-One is a step-by-step hands-on tutorial broken down into short, easily digestible lessons. It not only provides basic information on the Office applications, but also...
Wireless Communication Systems: Advanced Techniques for Signal Reception
Wireless Communication Systems: Advanced Techniques for Signal Reception

A unified framework for using today's most advanced signal processing techniques

Driven by the rapidly escalating capacity demands of emerging wireless systems, researchers havedeveloped a wide array of novel signal processing techniques for use in such systems. Now, twoleading researchers synthesize the field's vast new...

Fixed Effects Regression Methods for Longitudinal Data Using SAS
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Every empirical researcher knows that randomized experiments have major advantages over observational studies in making causal inferences. Randomization of subjects to different treatment conditions ensures that the treatment groups, on average, are identical with respect to all possible characteristics of the subjects, regardless of whether those...
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
The process of inductive inference—to infer general laws and principles from particular instances—is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed...
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