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Computer Intensive Statistical Methods Validation, Model Selection, and Bootstrap by J. S. Urban. Hjorth

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Published by Chapman & Hall/CRC .
Written in English


Book details:

The Physical Object
Number of Pages272
ID Numbers
Open LibraryOL7478781M
ISBN 100412491605
ISBN 109780412491603

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  () Computer-intensive methods in statistical analysis. IEEE Signal Processing Magazine , () Estimating exposure point concentrations for surface soils for use in deterministic and probabilistic risk :// Computer Intensive Methods in Statistics, Paperback by Zwanzig, Silvelyn; Mahjani, Behrang, ISBN , ISBN , Brand New, Free shipping in the US "This book gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods  › eBay › Books › Nonfiction. Efron, B. and Tibshirani, R. () Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy (with Discussion). Statistical Science, 1, Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap - Kindle edition by Hjorth, J. S. Urban.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Computer Intensive Statistical Methods: Validation, Model Selection, and  › Kindle Store › Kindle eBooks › Science & Math.

  The computer-intensive methods outlined in this book can show how to pass many obstacles that could not previously be overcome. Computer Intensive Statistical Methods places much emphasis on applications in science, economics, reliability, meteorology, medicine and  › Books › Science & Math › Mathematics.   Computer Intensive Statistical Methods. DOI link for Computer Intensive Statistical Methods. Computer Intensive Statistical Methods book   The term ‘computer intensive methods’ means different things to different people. It is also a dynamic subject: what requires intensive computing today may be solvable with a pocket calculator tomorrow. Not so long ago, the calculation of normal probabilities to reasonable accuracy would have required considerable CPU ://~stevel//literature/Computer Intensive Statistical. The five methods included in PsN-Toolkit are just a few of a larger set of computer intensive methods that have been suggested for use in pharmacometric data analysis. Methods like the Posterior Predictive Check, Monte-carlo Simulations, Cross Validation, Model Selection using Genetic Algorithms and the LASSO could all be valuable in an

  How to use computer-intensive methods to assess the significance of a statistic in an hypothesis test--for both statisticians and nonstatisticians alike. The significance of almost any test can be assessed using one of the methods presented here, for the techniques given are very general (e.g. virtually every nonparametric statistical test is a special case of one of the method Book Description. This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and ://   Do not use computer intensive methods unless you have to. 8 Simulation My own observation: more than 80% statistical papers have sections called “Simulations” 9 Background •The foundation of computer intensive methods •General scheme: –Generate   An introduction to computer-intensive methods For the purposes of this book, I define computer-intensive methods as those that involve an iterative process and hence cannot readily be done except statistical analysis. What computer-intensive methods allow one to do is to