A refresher for health professionals, this book reinforces the statistical principles required for certification and board exams. Its concise presentation, with many examples and exercises, helps solidify your learning and retention of key topics.
Master the core methods of statistical research. This practical guide covers key techniques, from sampling to interconnection analysis, teaching you how to apply them effectively and interpret your results with confidence.
This book introduces Kolmogorov-Zurbenko Filters, powerful data analysis tools that discover phenomena hidden within data. Rather than forcing models, these methods obtain accurate results in noisy environments by separating sources of influence to explain the total picture.
This book discusses mathematical techniques for stellar kinematics, from classical methods like least squares to modern ones not in other texts, such as total least squares and semi-definite programming. For astronomers, students, engineers, and mathematicians.
Multivariate Techniques
This book covers both theoretical and applied aspects of multivariate analyses. It provides an overview of key terminology and distributions before discussing methods of drawing inferences, multivariate analysis of variance, and multivariate regression.
Based on 60 years of research, this book reveals a powerful message: qualitative data is more informative than quantitative data. Learn how to analyze it quantitatively to extract more information, using simple illustrations of difficult topics that anyone can understand.
Science Meets Sports
This book presents sports statistics to academics and fans alike. Even without advanced math knowledge, readers will gain completely new insights into their favourite sports by combining sports analytics, data visualisation, and advanced statistical procedures.
Statistics Meets Sports
In the world of sports, data science and analytics are leading to game-changing insights. This book provides a solid understanding of these new trends and offers the interested reader a starting point from which to dive into this blossoming field.
This book covers the theory and practice of hypothesis testing: deciding on the plausibility of models based on data. Useful for researchers and practitioners at all levels, it discusses important practical problems and provides detailed algorithms for their solutions.
This book analyzes algorithms for stochastic phenomena like random processes and Markov chains. It presents a novel “Complex Probability Paradigm” applied to Brownian motion, making it ideal for researchers and students in mathematics, computer science, and science.
Written by leading experts, this volume offers detailed and up-to-date findings for survey methodologists and practitioners. It deepens the reader’s understanding of the unit problem and showcases recent advances in business survey methodology and practice.
This comprehensive collection of estimators in single and two-phase sampling covers estimators which utilize information on single, two, and multiple auxiliary variables. An invaluable point of reference for researchers working in the field of survey sampling.