Download or read book Empirical Methods in the Evaluation of Estimators written by Gerald S. Walton and published by . This book was released on 1973 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Small Area Estimation written by National Center for Health Statistics (U.S.) and published by . This book was released on 1979 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evaluation of Classical Statistical and Empirical Bayesian Methods as Estimators for Reliability in the Power Generation Industry written by Kenneth Hutchison and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Empirical Evaluation of the Accuracy of Four Statistical Methods for Estimating Gain Scores written by Young Bum Lee and published by . This book was released on 1972 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Research Methods and Applications in Empirical Microeconomics written by Hashimzade, Nigar and published by Edward Elgar Publishing. This book was released on 2021-11-18 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
Download or read book CapMod written by Florian Chávez-Juárez and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This article introduces an innovative approach to the validation of empirical methods aiming at estimating capabilities. Validating these empirical methods is difficult because capabilities are not directly observable. We propose a computational model to generate data from a simulated society, where we observe both functionings and capabilities. These data can then be used to compare estimation methods against each other. Most importantly, our data generating process is completely disconnected from any estimation procedure and can therefore be used to compare a variety of methods. The model is calibrated to the Mexican economy and coherently reproduces many stylised facts of this economy. The article also proposes a short illustrative analysis on how to use the simulated data and a section on how this can be implemented practically.
Download or read book An Empirical Evaluation of Five Circular Error Probable Estimation Techniques and a Method for Improving Them written by William L. Tongue and published by . This book was released on 1993 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study compared five CEP estimation techniques under the assumption that the crossrange and downrange miss distances of the sample data follow a bivariate normal distribution. The analysis determined the sensitivities of these models to changes in sample size, bias, correlation, and ellipticity in terms of three measures of effectiveness: Mean relative error (RE), variance of RE, and mean squared error (MSE) of RE. In general, it was found that sample size was the most significant parameter in determining the best CEP method. Mean RE provided a 'strong' distinction between estimators, while variance and MSE provided 'weak' distinctions between estimators. An attempt to improve one of the better estimation techniques using least squares regression proved quite successful ... Circular error probable, CEP.
Download or read book An Empirical Evaluation of the Ratio Method for Estimating written by Fan Yee and published by . This book was released on 1979 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Validity Reliability and Significance written by Stefan Riezler and published by Springer Nature. This book was released on 2022-06-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions addressed in this book include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to the questions of whether a model predicts what it purports to predict, whether a model's performance is consistent across replications, and whether a performance difference between two models is due to chance, respectively. The goal of this book is to answer these questions by concrete statistical tests that can be applied to assess validity, reliability, and significance of data annotation and machine learning prediction in the fields of NLP and data science. Our focus is on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs). Based on the interpretable parameters of the trained GAMs or LMEMs, the book presents model-based statistical tests such as a validity test that allows detecting circular features that circumvent learning. Furthermore, the book discusses a reliability coefficient using variance decomposition based on random effect parameters of LMEMs. Last, a significance test based on the likelihood ratio of nested LMEMs trained on the performance scores of two machine learning models is shown to naturally allow the inclusion of variations in meta-parameter settings into hypothesis testing, and further facilitates a refined system comparison conditional on properties of input data. This book can be used as an introduction to empirical methods for machine learning in general, with a special focus on applications in NLP and data science. The book is self-contained, with an appendix on the mathematical background on GAMs and LMEMs, and with an accompanying webpage including R code to replicate experiments presented in the book.
Download or read book Introduction to Empirical Processes and Semiparametric Inference written by Michael R. Kosorok and published by Springer Science & Business Media. This book was released on 2007-12-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
Download or read book Empirical Evaluation Methods in Computer Vision written by Henrik I. Christensen and published by World Scientific. This book was released on 2002 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The book contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.
Download or read book Handbook of Research Methods and Applications in Empirical Macroeconomics written by Nigar Hashimzade and published by Edward Elgar Publishing. This book was released on 2013-01-01 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.
Download or read book USDA Forest Service Research Paper NE written by and published by . This book was released on 1973 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Empirical Evaluation of an Improved Version of the Difference Method for Estimating the Measurement Error Variance at Specific Score Levels written by Huilan Xing and published by . This book was released on 2001 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Empirical evaluation of five small area estimators written by Àlex Costa and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reliability Engineering written by Alessandro Birolini and published by Springer Science & Business Media. This book was released on 2007-08-15 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art of reliability engineering, both in theory and practice. It provides design guidelines for reliability, maintainability, and software quality. This is a textbook establishing a link between theory and practice, with a large number of tables, figures, and examples to support the practical aspects. This allows rapid access to practical results. The book is based on over 30 years of industrial and academic experience.
Download or read book An Empirical Study of Three Stochastic Approximation Techniques Applicable to Sensitivity Testing U written by Patrick L. Odell and published by . This book was released on 1961 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rates of convergence of three stochastic approximation estimators are studied empirically using a Monte Carlo sampling procedure. The results are presented in tabular form and various conclusions are made as to the utility of each estimator in the light of these results.
