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Reliability Of Confidence Intervals Calculated By Bootstrap And Classical Methods Using The Fia 1 Ha Plot Design
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Book Synopsis Reliability of Confidence Intervals Calculated by Bootstrap and Classical Methods Using the FIA 1-Ha Plot Design by : Hans T. Schreuder
Download or read book Reliability of Confidence Intervals Calculated by Bootstrap and Classical Methods Using the FIA 1-Ha Plot Design written by Hans T. Schreuder and published by . This book was released on 2000 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reliability of Confidence Intervals Calculated by Bootstrap and Classical Methods Using the FIA 1-Ha Plot Design by : Hans T. Schreuder
Download or read book Reliability of Confidence Intervals Calculated by Bootstrap and Classical Methods Using the FIA 1-Ha Plot Design written by Hans T. Schreuder and published by . This book was released on 2000 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book General Technical Report RMRS written by and published by . This book was released on 1998 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Accuracy Assessment of Percent Canopy Cover, Cover Type, and Size Class by : Hans T. Schreuder
Download or read book Accuracy Assessment of Percent Canopy Cover, Cover Type, and Size Class written by Hans T. Schreuder and published by . This book was released on 2003 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Truth for vegetation cover percent and type is obtained from very large-scale photography (VLSP), stand structure as measured by size classes, and vegetation types from a combination of VLSP and ground sampling. We recommend using the Kappa statistic with bootstrap confidence intervals for overall accuracy, and similarly bootstrap confidence intervals for percent correct for each category and user and producer accuracy. A procedure is given for mapped plots to be assessed as being partially or totally correct. We recommend the use of primary accuracy for management decisions and secondary accuracy for research decisions to distinguish between accuracy desired.
Download or read book New Publications written by and published by . This book was released on 1997 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory by : Michael Köhl
Download or read book Sampling Methods, Remote Sensing and GIS Multiresource Forest Inventory written by Michael Köhl and published by Springer Science & Business Media. This book was released on 2006-10-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art of forest resources assessments and monitoring. It provides links to practical applications of forest and natural resource assessment programs. It offers an overview of current forest inventory systems and discusses forest mensuration, sampling techniques, remote sensing applications, geographic and forest information systems, and multi-resource forest inventory. Attention is also given to the quantification of non-wood goods and services.
Book Synopsis Monthly Catalog of United States Government Publications by :
Download or read book Monthly Catalog of United States Government Publications written by and published by . This book was released on 2001 with total page 846 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bootstrap Methods and Their Application by : A. C. Davison
Download or read book Bootstrap Methods and Their Application written by A. C. Davison and published by Cambridge University Press. This book was released on 1997-10-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disk contains the library functions and documentation for use with Splus for Windows.
Book Synopsis Least Squares Regressions with the Bootstrap by : Jonas Böhmer
Download or read book Least Squares Regressions with the Bootstrap written by Jonas Böhmer and published by GRIN Verlag. This book was released on 2009-09 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2009 in the subject Statistics, grade: 1,6, University of Bonn (Statistische Abteilung der Rechts- und Staatswissenschaftlichen Fakult t), course: Diplomarbeit bei Prof.Dr. Alois Kneip, language: English, abstract: The statistical technique called bootstrap is usable with a lot of inferential problems and it is the main topic of this paper. Since the bootstrap provides material for a whole series of books it is essential to pick one special aspect of the bootstrap and investigate it in depth, otherwise the analysis would inevitably become too general. This aspect is the topic of regression. Hence, this paper will introduce the bootstrap and compare the performance of the new inference methods which it provides with some classical methods of judging a regression which were used in the years before the bootstrap. Therefore the remainder of this paper is as follows: First there will be a description of the basic model in which all of the following investigations will be done, chapter two. The next chapter will describe the different regression techniques which try to solve the model. The fourth chapter is going to show the behavior of these regression techniques in large samples, i.e. shows some classical methods of statistical inference. Following chapter five will give an introduction to the bootstrap which will be succeeded by a description of the bootstrap in regression problems, chapter six. The seventh chapter will show how inference is done with the help of the bootstrap. The eighth chapter is going to compare the performances of classical and bootstrap inference in regressions. Before the concluding remarks of chapter ten, there will be a practical application in chapter nine which tries to prove some observations of the preceeding chapters.
Book Synopsis Bootstrapping and Related Techniques by : Karl-Heinz Jöckel
Download or read book Bootstrapping and Related Techniques written by Karl-Heinz Jöckel and published by Springer. This book was released on 1992 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to Bootstrap Methods with Applications to R by : Michael R. Chernick
Download or read book An Introduction to Bootstrap Methods with Applications to R written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to bootstrap methods in the Rprogramming environment Bootstrap methods provide a powerful approach to statisticaldata analysis, as they have more general applications than standardparametric methods. An Introduction to Bootstrap Methods withApplications to R explores the practicality of this approach andsuccessfully utilizes R to illustrate applications for thebootstrap and other resampling methods. This book provides a modernintroduction to bootstrap methods for readers who do not have anextensive background in advanced mathematics. Emphasis throughoutis on the use of bootstrap methods as an exploratory tool,including its value in variable selection and other modelingenvironments. The authors begin with a description of bootstrap methods andits relationship to other resampling methods, along with anoverview of the wide variety of applications of the approach.Subsequent chapters offer coverage of improved confidence setestimation, estimation of error rates in discriminant analysis, andapplications to a wide variety of hypothesis testing and estimationproblems, including pharmaceutical, genomics, and economics. Toinform readers on the limitations of the method, the book alsoexhibits counterexamples to the consistency of bootstrapmethods. An introduction to R programming provides the needed preparationto work with the numerous exercises and applications presentedthroughout the book. A related website houses the book's Rsubroutines, and an extensive listing of references providesresources for further study. Discussing the topic at a remarkably practical and accessiblelevel, An Introduction to Bootstrap Methods with Applications to Ris an excellent book for introductory courses on bootstrap andresampling methods at the upper-undergraduate and graduate levels.It also serves as an insightful reference for practitioners workingwith data in engineering, medicine, and the social sciences whowould like to acquire a basic understanding of bootstrapmethods.
Book Synopsis Bootstrap Methods for Confidence Interval Estimation and Hypothesis Testing: Includes index by : Hwa-Tung Ong
Download or read book Bootstrap Methods for Confidence Interval Estimation and Hypothesis Testing: Includes index written by Hwa-Tung Ong and published by . This book was released on 1996 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bootstrap Confidence Regions in Nonlinear Multivariate Analysis by : Monica Th Markus
Download or read book Bootstrap Confidence Regions in Nonlinear Multivariate Analysis written by Monica Th Markus and published by . This book was released on 1994 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Exploring the Limits of Bootstrap by : Raoul LePage
Download or read book Exploring the Limits of Bootstrap written by Raoul LePage and published by Wiley-Interscience. This book was released on 1992 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores the application of bootstrap to problems that place unusual demands on the method. The bootstrap method, introduced by Bradley Efron in 1973, is a nonparametric technique for inferring the distribution of a statistic derived from a sample. Most of the papers were presented at a special meeting sponsored by the Institute of Mathematical Statistics and the Interface Foundation in May, 1990.
Book Synopsis Using Bayesian Statistics in Operational Testing by : Thuan H. Tran
Download or read book Using Bayesian Statistics in Operational Testing written by Thuan H. Tran and published by . This book was released on 1998-03-01 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research explored the applicability of Bayesian methods to the problem of determining the reliability of a series system, a parallel system, and a bridge system. The time to failure of each component in each system is assumed to be exponentially distributed. A basic exponential case and a basic binomial case are also evaluated. In general, using simulated data and real data when possible, the Bayesian methods produced confidence intervals that were much tighter than the classical inference methods, thus allowing a decision maker to have higher confidence in making a decision. System level data and aggregated component level data produced a much tighter confidence interval than component level data aggregated to system.
Book Synopsis Bootstrap Methods and Their Application by : Anthony Christopher Davison
Download or read book Bootstrap Methods and Their Application written by Anthony Christopher Davison and published by . This book was released on 1997 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis An Introduction to the Bootstrap by : Bradley Efron
Download or read book An Introduction to the Bootstrap written by Bradley Efron and published by . This book was released on 1998 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accuracy of a sample mean; Random samples and probabilities; The empirical distribution function and the plug-in principle; Standard errors and estimated standard errors; The bootstrap estimate of standard error; Bootstrap standard errors: some examples; More complicated data structures; Regression models; Estimates of bias; The jackknife; Confidence intervals based on bootstrap "tables"; Confidence intervals based on bootstrap percentiles; Better bootstrap confidence intervals; Permutation tests; Hypothesis testing with the bootstrap; Cross-validation and other estimates of prediction error; Adaptive estimation and calibration; Assessing the error in bootstrap estimates; A geometrical representation for the bootstrap and jackknife; An overview of nonparametric and parametric inference; Furter topics in bootstrap confidence intervals; Efficient bootstrap computatios; Approximate likelihoods; Bootstrap bioequivalence; Discussion and further topics.
