Weighted Rank Estimators

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Weighted Rank Estimators

Author : Viktor Subbotin
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Weighted Rank Estimators by : Viktor Subbotin

Download or read book Weighted Rank Estimators written by Viktor Subbotin and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rank-based estimators are important tools of robust estimation in popular semiparametric models under monotonicity constraints. Here we study weighted versions of such estimators. Optimally weighted monotone rank estimator (MR) of Cavanagh and Sherman (1998) attains the semiparametric efficiency bound in the nonlinear regression model and the binary choice model. Optimally weighted maximum rank correlation estimator (MRC) of Han (1987) has the asymptotic variance close to the semiparametric efficiency bound in single-index models under independence when the distribution of the errors is close to normal, and is consistent under deviations from the single index assumption. Under moderate nonlinearities and nonsmoothness in the data, the efficiency gains from weighting are likely to be small for MR and MRC in the binary choice model and for MRC in the transformation model, and can be large for MR and MRC in the monotone regression model.

Parametric Inference Using Combined Weighted Log-rank Estimators for Regression with Survival Data

Author : Jaclyn M. Waldrop
Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4.:/5 (526 download)

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Book Synopsis Parametric Inference Using Combined Weighted Log-rank Estimators for Regression with Survival Data by : Jaclyn M. Waldrop

Download or read book Parametric Inference Using Combined Weighted Log-rank Estimators for Regression with Survival Data written by Jaclyn M. Waldrop and published by . This book was released on 2002 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Methods for Estimation of Voters' Weights for Weighted Rank Aggregation

Author : Akash Kushwaha
Publisher :
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4.:/5 (818 download)

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Book Synopsis Methods for Estimation of Voters' Weights for Weighted Rank Aggregation by : Akash Kushwaha

Download or read book Methods for Estimation of Voters' Weights for Weighted Rank Aggregation written by Akash Kushwaha and published by . This book was released on 2012 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rank aggregation is the problem of combining ranking of candidates (alternatives, players, products) from different sources (voters, critics, judges, product reviewers) to obtain a consensus ranking. Researchers have used rank aggregation methods for problems in sports, information retrieval, machine learning and computational biology. There are aggregation problems where accurate aggregation requires using weights for voters, e.g., experts of a field are known to have varying performance. While aggregating their opinion on a topic, it is desired to weight opinion of an expert differently. External validation measures have been used as weights to perform weighted rank aggregation. However, there are no unsupervised methods available which estimate weights from given data. In this work, we propose two methods for estimating voters weights from the given data. We also describe an algorithmic framework that allows coupling of any rank aggregation algorithm with proposed methods to perform weighted rank aggregation. This framework is an iterative method which generates weight vector and weighted ranking of candidates. Convergence of framework is a necessary condition for obtaining voters weights. We experimented with three publicly available real datasets and randomly generated datasets. Experiments provide empirical proof of convergence of proposed methods.

Nonparametric Functional Estimation and Related Topics

Author : G.G Roussas
Publisher : Springer Science & Business Media
ISBN 13 : 9401132224
Total Pages : 691 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Nonparametric Functional Estimation and Related Topics by : G.G Roussas

Download or read book Nonparametric Functional Estimation and Related Topics written by G.G Roussas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: About three years ago, an idea was discussed among some colleagues in the Division of Statistics at the University of California, Davis, as to the possibility of holding an international conference, focusing exclusively on nonparametric curve estimation. The fruition of this idea came about with the enthusiastic support of this project by Luc Devroye of McGill University, Canada, and Peter Robinson of the London School of Economics, UK. The response of colleagues, contacted to ascertain interest in participation in such a conference, was gratifying and made the effort involved worthwhile. Devroye and Robinson, together with this editor and George Metakides of the University of Patras, Greece and of the European Economic Communities, Brussels, formed the International Organizing Committee for a two week long Advanced Study Institute (ASI) sponsored by the Scientific Affairs Division of the North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engineering and medicine. While there has been interest in nonparametric functional estimation for many years, this has grown of late, owing to increasing availability of large data sets and the ability to process them by means of improved computing facilities, along with the ability to display the results by means of sophisticated graphical procedures.

Analysis of Doubly Truncated Data

Author : Achim Dörre
Publisher : Springer
ISBN 13 : 9811362416
Total Pages : 109 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Analysis of Doubly Truncated Data by : Achim Dörre

Download or read book Analysis of Doubly Truncated Data written by Achim Dörre and published by Springer. This book was released on 2019-05-13 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.

Regression Estimators

Author : Marvin H. J. Gruber
Publisher : Academic Press
ISBN 13 : 1483260976
Total Pages : 361 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Regression Estimators by : Marvin H. J. Gruber

Download or read book Regression Estimators written by Marvin H. J. Gruber and published by Academic Press. This book was released on 2014-05-10 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression Estimators: A Comparative Study presents, compares, and contrasts the development and the properties of the ridge type estimators that result from both Bayesian and non-Bayesian (frequentist) methods. The book is divided into four parts. The first part (Chapters I and II) discusses the need for alternatives to least square estimators, gives a historical survey of the literature and summarizes basic ideas in Matrix Theory and Statistical Decision Theory used throughout the book. The second part (Chapters III and IV) covers the estimators from both the Bayesian and from the frequentist points of view and explores the mathematical relationships between them. The third part (Chapters V-VIII) considers the efficiency of the estimators with and without averaging over a prior distribution. Part IV, the final two chapters IX and X, suggests applications of the methods and results of Chapters III-VII to Kaiman Filters and Analysis of Variance, two very important areas of application. Statisticians and workers in fields that use statistical methods who would like to know more about the analytical properties of ridge type estimators will find the book invaluable.

Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs

Author : Edgar Brunner
Publisher : Springer
ISBN 13 : 303002914X
Total Pages : 521 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs by : Edgar Brunner

Download or read book Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs written by Edgar Brunner and published by Springer. This book was released on 2019-07-15 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relative effect, which has a simple and intuitive probability interpretation. The data analysis is presented as comprehensively as possible, including appropriate descriptive statistics which follow a nonparametric paradigm, as well as corresponding inferential methods using hypothesis tests and confidence intervals based on pseudo-ranks. Offering clear explanations, an overview of the modern rank- and pseudo-rank-based inference methodology and numerous illustrations with real data examples, as well as the necessary R/SAS code to run the statistical analyses, this book is a valuable resource for statisticians and practitioners alike.

Weighted Empirical-type Estimation of the Regression Parameter

Author : Mark Allen Williamson
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Weighted Empirical-type Estimation of the Regression Parameter by : Mark Allen Williamson

Download or read book Weighted Empirical-type Estimation of the Regression Parameter written by Mark Allen Williamson and published by . This book was released on 1979 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Annual Competitiveness Analysis And Impact Estimation Of Exchange Rates On Exports From Sub-national Economies Of Indonesia

Author : Khee Giap Tan
Publisher : World Scientific
ISBN 13 : 9811207860
Total Pages : 391 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Annual Competitiveness Analysis And Impact Estimation Of Exchange Rates On Exports From Sub-national Economies Of Indonesia by : Khee Giap Tan

Download or read book Annual Competitiveness Analysis And Impact Estimation Of Exchange Rates On Exports From Sub-national Economies Of Indonesia written by Khee Giap Tan and published by World Scientific. This book was released on 2019-11-12 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Indonesia is one of the largest economies in the world and is one of the major players in the global economy. The diversity in Indonesia's socio-economic structure from province to province and region to region warrants an in-depth inquisition at the sub-national level. This book forms part of the series of Asia Competitiveness Institute (ACI) annual flagship study on the competitiveness of the 34 provinces in Indonesia. Using over 100 indicators, the study covers four environments in (1) Macroeconomic Stability, (2) Government and Institutional Setting, (3) Financial, Businesses and Manpower Conditions and (4) Quality of Life and Infrastructure Development, and 12 sub-environments. This book also provides insights to the comparative strengths and weaknesses of the sub-national economies and conducts a 'What-ifs' policy simulation to craft targeted policy recommendations for each province.This sixth edition will continue to elucidate the competitiveness landscape of each province's competitiveness. Additionally, this edition will also feature commentaries by the local academics on the recent developments in the 34 provinces of Indonesia. In view of the importance of international trade to the Indonesia's economy, this book also features the study of impact estimation of exchange rates on exports in Indonesia.

Methods and Applications of Statistics in Clinical Trials, Volume 1

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
ISBN 13 : 1118595912
Total Pages : 937 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Methods and Applications of Statistics in Clinical Trials, Volume 1 by : Narayanaswamy Balakrishnan

Download or read book Methods and Applications of Statistics in Clinical Trials, Volume 1 written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2014-03-05 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results. The referenceunveils modern approaches vital to understanding, creating, and evaluating data obtained throughoutthe various stages of clinical trial design and analysis. Accessible and comprehensive, the first volume in a two-part set includes newly-written articles as well as established literature from the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing data, covariates, biased-coin randomization, repeated measurements, and simple randomization, the book also provides in-depth coverage of the various trial designs found within phase I-IV trials. Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs also features: Detailed chapters on the type of trial designs, such as adaptive, crossover, group-randomized, multicenter, non-inferiority, non-randomized, open-labeled, preference, prevention, and superiority trials Over 100 contributions from leading academics, researchers, and practitioners An exploration of ongoing, cutting-edge clinical trials on early cancer and heart disease, mother-to-child human immunodeficiency virus transmission trials, and the AIDS Clinical Trials Group Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs is an excellent reference for researchers, practitioners, and students in the fields of clinicaltrials, pharmaceutics, biostatistics, medical research design, biology, biomedicine, epidemiology,and public health.

A Weighted Dispersion Function for Estimation in Linear Models

Author : Gerald L. Sievers
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis A Weighted Dispersion Function for Estimation in Linear Models by : Gerald L. Sievers

Download or read book A Weighted Dispersion Function for Estimation in Linear Models written by Gerald L. Sievers and published by . This book was released on 1979 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust estimates for the parameters in the general linear model are proposed which are based on weighted rank statistics. The method is based on the minimization of a dispersion function defined by a weighted Gini's mean difference. An asymptotic distribution of the estimate is derived. Some examples are discussed which point out that the ranking can be based on a restricted set of comparisons and still retain high efficiency. (Author).

Statistical Foundations of Data Science

Author : Jianqing Fan
Publisher : CRC Press
ISBN 13 : 1466510854
Total Pages : 752 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Statistical Foundations of Data Science by : Jianqing Fan

Download or read book Statistical Foundations of Data Science written by Jianqing Fan and published by CRC Press. This book was released on 2020-09-21 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands the techniques of model building via nonparametric regression and kernel tricks. It provides a comprehensive account on sparsity explorations and model selections for multiple regression, generalized linear models, quantile regression, robust regression, hazards regression, among others. High-dimensional inference is also thoroughly addressed and so is feature screening. The book also provides a comprehensive account on high-dimensional covariance estimation, learning latent factors and hidden structures, as well as their applications to statistical estimation, inference, prediction and machine learning problems. It also introduces thoroughly statistical machine learning theory and methods for classification, clustering, and prediction. These include CART, random forests, boosting, support vector machines, clustering algorithms, sparse PCA, and deep learning.

Weighted Least Squares Rank Estimates

Author : Kuo-Sheuon Cheng
Publisher :
ISBN 13 :
Total Pages : 35 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Weighted Least Squares Rank Estimates by : Kuo-Sheuon Cheng

Download or read book Weighted Least Squares Rank Estimates written by Kuo-Sheuon Cheng and published by . This book was released on 1981 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper rank estimates, called WLS rank estimates and computed using iteratively reweighted least squares, are studied. They do not require the estimation of auxilliary scale or slope parameters nor do they require numerical search techniques to minimize a convex surface. The price is a small asymptotic efficiency loss. In the location model, beginning with a resistant starting value such as the median, the WLS rank estimates have good robustness and computational properties. The WLS rank estimate is also extended to the regression model and an example is given. (Author).

Vegetation Monitoring

Author : Caryl L. Elzinga
Publisher : DIANE Publishing
ISBN 13 : 9780788148378
Total Pages : 190 pages
Book Rating : 4.1/5 (483 download)

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Book Synopsis Vegetation Monitoring by : Caryl L. Elzinga

Download or read book Vegetation Monitoring written by Caryl L. Elzinga and published by DIANE Publishing. This book was released on 1998-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annotated bibliography documents literature addressing the design and implementation of vegetation monitoring. It provides resources managers, ecologists, and scientists access to the great volume of literature addressing many aspects of vegetation monitoring: planning and objective setting, choosing vegetation attributes to measure, sampling design, sampling methods, statistical and graphical analysis, and communication of results. Over half of the 1400 references have been annotated. Keywords pertaining to the type of monitoring or method are included with each bibliographic entry. Keyword index.

On a Class of Estimators of the Location Parameter Based on a Weighted Sum of the Observations

Author : Louis Paul Rivest
Publisher : 1978.
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.:/5 (615 download)

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Book Synopsis On a Class of Estimators of the Location Parameter Based on a Weighted Sum of the Observations by : Louis Paul Rivest

Download or read book On a Class of Estimators of the Location Parameter Based on a Weighted Sum of the Observations written by Louis Paul Rivest and published by 1978.. This book was released on 1978 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Methods for Handling Incomplete Data

Author : Jae Kwang Kim
Publisher : CRC Press
ISBN 13 : 1000466299
Total Pages : 380 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Statistical Methods for Handling Incomplete Data by : Jae Kwang Kim

Download or read book Statistical Methods for Handling Incomplete Data written by Jae Kwang Kim and published by CRC Press. This book was released on 2021-11-19 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Features Uses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data Integration Now includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.

State Estimation in Electric Power Systems

Author : A. Monticelli
Publisher : Springer Science & Business Media
ISBN 13 : 146154999X
Total Pages : 405 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis State Estimation in Electric Power Systems by : A. Monticelli

Download or read book State Estimation in Electric Power Systems written by A. Monticelli and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: State Estimation in Electric Power Systems: A Generalized Approach provides for the first time a comprehensive introduction to the topic of state estimation at an advanced textbook level. The theory as well as practice of weighted least squares (WLS) is covered with significant rigor. Included are an in depth analysis of power flow basics, proper justification of Stott's decoupled method, observability theory and matrix solution methods. In terms of practical application, topics such as bad data analysis, combinatorial bad data analysis and multiple snap shot estimation are covered. The book caters both to the specialist as well as the newcomer to the field. State estimation will play a crucial role in the emerging scenario of a deregulated power industry. Many market decisions will be based on knowing the present state of the system accurately. State Estimation in Electric Power Systems: A Generalized Approach crystallizes thirty years of WLS state estimation theory and practice in power systems and focuses on techniques adopted by state estimation developers worldwide. The book also reflects the experience of developing industrial-grade state estimation software that is used in the USA, South America, and many other places in world.