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Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book... Læs mere
Starting with an overview of the origins of graph theory and its current applications in the social sciences, the book... Læs mere
This practical guide shows how to analyse, manipulate or simulate scientific or other numerical data using the power of modern GPUs to greatly... Læs mere
This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.
This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners.
Presented using Mathematica code, the book is fully supported by downloadable sessions in Mathematica, Maple, and Maxima.Opening with an introduction to computer algebra systems and the basics of programming mathematical algorithms, the book goes on to explore integer arithmetic.
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
The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an... Læs mere
Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere