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:
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:
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 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.
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:
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 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bootstrap Methods written by Gerhard Dikta and published by Springer Nature. This book was released on 2021-08-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Download or read book Performance of Bootstrap Confidence Intervals for L moments and Ratios of L moments written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: L-moments are defined as linear combinations of expected values of order statistics of a variable.(Hosking 1990) L-moments are estimated from samples using functions of weighted means of order statistics. The advantages of L-moments over classical moments are: able to characterize a wider range of distributions; L-moments are more robust to the presence of outliers in the data when estimated from a sample; and L-moments are less subject to bias in estimation and approximate their asymptotic normal distribution more closely. Hosking (1990) obtained an asymptotic result specifying the sample L-moments have a multivariate normal distribution as n approaches infinity. The standard deviations of the estimators depend however on the distribution of the variable. So in order to be able to build confidence intervals we would need to know the distribution of the variable. Bootstrapping is a resampling method that takes samples of size n with replacement from a sample of size n. The idea is to use the empirical distribution obtained with the subsamples as a substitute of the true distribution of the statistic, which we ignore. The most common application of bootstrapping is building confidence intervals without knowing the distribution of the statistic. The research question dealt with in this work was: How well do bootstrapping confidence intervals behave in terms of coverage and average width for estimating L-moments and ratios of L-moments? Since Hosking's results about the normality of the estimators of L-moments are asymptotic, we are particularly interested in knowing how well bootstrap confidence intervals behave for small samples. 0D0AThere are several ways of building confidence intervals using bootstrapping. The most simple are the standard and percentile confidence intervals. The standard confidence interval assumes normality for the statistic and only uses bootstrapping to estimate the standard error of the statistic. The percentile methods work with the ([alpha]/2)th and (1-[alpha]/2)th percentiles of the empirical sampling distribution. Comparing the performance of the three methods was of interest in this work. The research question was answered by doing simulations in Gauss. The true coverage of the nominal 95% confidence interval for the L-moments and ratios of L-moments were found by simulations.
Download or read book Confidence Intervals on Variance Components written by Burdick and published by CRC Press. This book was released on 1992-02-28 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin
Download or read book Performance of Dependent Bootstrap Confidence Intervals For Generalized Gamma Means written by Adam Drew Kehler and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In lifetime data analysis (e.g. survival analysis, reliability analysis) the Generalized Gamma distribution is a versatile lifetime distribution that includes the Exponential, Gamma, and Weibull distributions as special cases. In such analyses, as with most statistical analyses, it is often important to gauge the accuracy and precision of the resulting estimates. One of the most common ways of doing this is by constructing confidence intervals. Theoretical approaches are not always appropriate in practice and computational methods are needed. Some of the most common methods utilize bootstrap sampling procedures. Through systematic testing, this research looked for general rules of when various bootstrap methods to confidence interval construction were preferred in the case of the Generalized Gamma distribution and mean statistic. Specifically, it considered both the independent (sampling with replacement) and dependent (sampling without replacement) bootstrap procedures for the following confidence interval methods: Bootstrap-t; Percentile; and Modified Percentile. Thousands of samples of Generalized Gamma random variables were generated (using R version 3.4.2) with different parameter combinations and samples sizes. For each sample, thousands of bootstrap samples were produced using both the independent and dependent bootstrap procedures. The original samples and bootstrap samples were then used to construct the various confidence intervals. Lastly, the confidence intervals using the same method, parameter combination, and sample size were analyzed to determine the coverage probability and average length in order to evaluate the performance. When only considering coverage probability, the independent bootstrap confidence interval methods performed well with coverage probabilities close to the confidence level = 0:90. However, this was achieved with larger average lengths. The dependent bootstrap procedure was successful as a variance reduction technique compared to the independent bootstrap procedure by shortening the average length. However, this was at the cost of lower coverage probabilities. In the simple case where only the coverage probability is of importance, the preference should be to use the independent bootstrap, or dependent with a large number of copies, partnered with the Bootstrap-t or Percentile method (depending on sample size), rather than the Modified Percentile. When considering both coverage probability and average length, the Modified Percentile provides more opportunity to strike a balance between the two performance measures.
Download or read book The Bootstrap written by Andrea D. Volpe and published by . This book was released on 2005 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On the Appropriateness of Bootstrap written by Monsur Chowdhury and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: In complex sample design it is difficult to estimate standard of statistic analytically. In some cases there is no neat formula for calculating standard error analytically. Although techniques for variance estimation and confidence intervals exist for complex survey data, they often are cumbersome to implement or do not extend to complex design. Various methods for variance estimation in complex survey data, where the sampling is done without replacement, have been developed so far. These methods include the customary linearization (or taylor) method and resampling method based on Jackknife and balanced repeated replication. These methods all have certain drawbacks, however; the linearization method requires theoritical calculation and subsequent programming of derivatives, which make it cumbersome to implement. It would be desirable to have resampling methods that reuse the existing estimation system repeatedly, using computing power to avoid theoretical work and that can be applied to complex survey design. In this book only bootstrap method for estimating standard error in complex design has been consider
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:
Download or read book Statistics with Confidence written by Douglas Altman and published by BMJ Books. This book was released on 2000-04-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.
Download or read book Bootstrap Confidence Regions in Regression Problems written by Yvonne Elizabeth Pittelkow and published by . This book was released on 1991 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book General Coverage Problems with Applications and Bootstrap Method in Survival Analysis and Reliability Theory written by and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: By approximating the classical Product-Limit estimator of a distribution function with an average of lid random variables, we derive, for the first time in the literature, sufficient and necessary conditions for the rates of (both strong as well as weak laws) uniform convergence of the Product-Limit estimator over the whole line. These findings somehow fill a longstanding gap in the theory of Survival Analysis and provide a systematic tool handling other challenging problems when data are incomplete. In deriving our main results we also suggested a heurestic way of estimating the rates of convergence. To demonstrate its applications we prove a related conjecture of Gill and explain how a reliable confidence interval and band near the endpoint can be constructed.
