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This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions.
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This book discusses all major topics on survey sampling and estimation. As a large sample size is not cost-efficient, this book introduces a new method by using the domain... Læs mere
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The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an... Læs mere
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This book is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. Thoroughly revised, this third edition includes a new chapter introducing the basic principles of Study Design.
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Provides researchers & practitioners with a step-by-step guide for conducting Rasch measurement theory analyses. It includes theoretical introductions to major... Læs mere
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Provides researchers & practitioners with a step-by-step guide for conducting Rasch measurement theory analyses. It includes theoretical introductions to major... Læs mere
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Originally published in 1968, this book was intended to help those in health and welfare services as well as those whose policy decisions are influenced by the movement of statistical indices of health, to understand the purpose, derivation and meaning of these indices.
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With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals,... Læs mere
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Heavy tails - extreme events more common than expected - are everywhere, but they are still treated as mysterious and confusing... Læs mere
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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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This book is the first to give an accessible overview of the Christoffel–Darboux kernel as a novel, powerful, yet simple, tool in statistical data... Læs mere