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* Detailed descriptions of assumptions, the consequences of violating assumptions, and alternative procedures to follow are explained throughout the book.
BIOSTATISTIK & EPIDEMIOLOGI Bag sundhedsvidenskabelige undersøgelser er indsamlet en lang række data. Det er en videnskabelig disciplin at gøre data overskuelige, håndtér-... Læs mere
Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.
This book provides an extensive overview of the principles and methods of sample size calculation and... Læs mere
A fascinating exploration of how we can make better, accessible, mathematically-informed predictions about the world around us.
Suitable for students and researchers whose mathematical background is limited to basic algebra, this book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice.
This volume surveys many exciting recent developments in the field of algorithmic randomness and its interactions with other areas of mathematics, presenting... Læs mere
'Big data' poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates... Læs mere
New likelihood-based methods now allow very accurate approximations in finite samples and this book illustrates with realistic examples and... Læs mere