The third edition of this popular introductory text maintains the character that won worldwide respect for its predecessors but features a number of enhancements that...
This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the...
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers knowledge of and confidence in statistical modeling. Reflecting the need for even...
When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be...
Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not...
Statistical Methods For Long Term Memory Processes Covers The Diverse Statistical Methods And Applications For Data With Longrange Dependence. Presenting Material That Previously Appeared Only...
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge...
Although the theory behind solitary waves of strain shows that they hold significant promise in nondestructive testing and a variety of other applications, an enigma...
Survival Analysis Using S: Analysis of TimetoEvent Data is designed as a text for a onesemester or onequarter course in survival analysis for upperlevel or...
Maple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded...
A text that stresses the general concepts of the theory of statistics Theoretical Statistics provides a systematic statement of the theory of statistics, emphasizing general...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven...
Focusing on Bayesian approaches and computations using simulationbased methods for inference, Time Series: Modeling, Computation, and Inference integrates mainstream approaches for time series modeling with...
From the author of the bestselling 'Analysis of Time Series,' TimeSeries Forecasting offers a comprehensive, uptodate review of forecasting methods. It provides a summary of...
From the author of the bestselling 'Analysis of Time Series,' TimeSeries Forecasting offers a comprehensive, uptodate review of forecasting methods. It provides a summary of...
This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed...
Transfer function form, zpk, state space, modal, and state space modal forms. For someone learning dynamics for the first time or for engineers who use...
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Of considerable importance to numerical analysts, this text contains the proceedings of the 18th Dundee Biennial Conference on Numerical Analysis, featuring eminent analysts and current...
Parallel Programming with CoArrays describes the basic techniques used to design parallel algorithms for highperformance, scientific computing. It is intended for upperlevel undergraduate students and...
The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable...
This book illuminates the complex process of problem solving, including formulating the problem, collecting and analyzing data, and presenting the conclusions.
"Ask not what your compiler can do for you, ask what you can do for your compiler."John Levesque, Director of Crays Supercomputing Centers of ExcellenceThe...
Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations....
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
An introduction to radar systems should ideally be selfcontained and handson, a combination lacking in most radar texts. The first edition of Radar Systems Analysis...
Modern computerintensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling...
Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore,...
Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability. Therefore,...
Risk or uncertainty assessments are used as aids to decision making in nearly every aspect of business, education, and government. As a followup to the...
Risk Or Uncertainty Assessments Are Used As Aids To Decision Making In Nearly Every Aspect Of Business, Education, And Government. As A Followup To The...