This book focuses on public health and epidemiologic aspects of cancer, and explores the sources of information concerning the frequency of occurrence of human cancer....
The first edition of this book, popular around the world, is surpassed only by this new Second Edition. Improvements such as new and revised exercises,...
While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted...
The formal description of nonprecise data before their statistical analysis is, except for error models and interval arithmetic, a relatively young topic. Fuzziness is described...
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agrochemical...
Statistical Methods for SpatioTemporal Systems presents current statistical research issues on spatiotemporal data modeling and will promote advances in research and a greater understanding between...
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to...
A number of books written by statisticians address the mathematical optimization of biological systems, but do not directly address statistical optimization. Statistical Optimization of Biological...
This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process...
Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve...
This book focuses on statistical methods useful in quality control, emphasizing on dataanalysis and decisionmaking. These techniques are also of great use in areas such...
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions....
Business students need the ability to think statistically about how to deal with uncertainty and its effect on decisionmaking in business and management. Traditional statistics...
While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to...
Prepare Your Students for Statistical Work in the Real WorldStatistics for Engineering and the Sciences, Sixth Edition is designed for a twosemester introductory course on...
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This book focuses on public health and epidemiologic aspects of cancer, and explores the sources of information concerning the frequency of occurrence of human cancer....
The first edition of this book, popular around the world, is surpassed only by this new Second Edition. Improvements such as new and revised exercises,...
While many financial engineering books are available, the statistical aspects behind the implementation of stochastic models used in the field are often overlooked or restricted...
The formal description of nonprecise data before their statistical analysis is, except for error models and interval arithmetic, a relatively young topic. Fuzziness is described...
This book focuses on statistical methods which impinge more or less directly on the decisions that are made during the course of pharmaceutical and agrochemical...
Statistical Methods for SpatioTemporal Systems presents current statistical research issues on spatiotemporal data modeling and will promote advances in research and a greater understanding between...
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to...
A number of books written by statisticians address the mathematical optimization of biological systems, but do not directly address statistical optimization. Statistical Optimization of Biological...
This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies. It focuses on time series applications in statistical process...
Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve...
This book focuses on statistical methods useful in quality control, emphasizing on dataanalysis and decisionmaking. These techniques are also of great use in areas such...
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions....
Business students need the ability to think statistically about how to deal with uncertainty and its effect on decisionmaking in business and management. Traditional statistics...
While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to...
Prepare Your Students for Statistical Work in the Real WorldStatistics for Engineering and the Sciences, Sixth Edition is designed for a twosemester introductory course on...