Download or read book Economics Working Papers written by John Fletcher and published by . This book was released on 1978 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Handbook of International Macroeconomics written by Frederick Van der Ploeg and published by Wiley-Blackwell. This book was released on 1994-06-13 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together contributions from international experts working at the cutting edge of research the handbook reflects recent rapid advances in both theory and practice. The Handbook of International Macroeconomics d is an essential resource for advanced undergraduate and postgraduate students.

Download or read book Asymptotic Theory of Nonlinear Regression written by A.A. Ivanov and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let us assume that an observation Xi is a random variable (r.v.) with values in 1 1 (1R1 , 8 ) and distribution Pi (1R1 is the real line, and 8 is the cr-algebra of its Borel subsets). Let us also assume that the unknown distribution Pi belongs to a 1 certain parametric family {Pi() , () E e}. We call the triple £i = {1R1 , 8 , Pi(), () E e} a statistical experiment generated by the observation Xi. n We shall say that a statistical experiment £n = {lRn, 8 , P; ,() E e} is the product of the statistical experiments £i, i = 1, ... ,n if PO' = P () X ... X P () (IRn 1 n n is the n-dimensional Euclidean space, and 8 is the cr-algebra of its Borel subsets). In this manner the experiment £n is generated by n independent observations X = (X1, ... ,Xn). In this book we study the statistical experiments £n generated by observations of the form j = 1, ... ,n. (0.1) Xj = g(j, (}) + cj, c c In (0.1) g(j, (}) is a non-random function defined on e , where e is the closure in IRq of the open set e ~ IRq, and C j are independent r. v .-s with common distribution function (dJ.) P not depending on ().

Download or read book Robust Estimation written by Brenton Ross Clarke and published by . This book was released on 1980 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Some Problems in Estimation in Mixed Linear Models written by Alice Marion Richardson and published by . This book was released on 1995 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asymptotic Theory of Nonlinear Regression written by A.A. Ivanov and published by Springer. This book was released on 2010-12-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let us assume that an observation Xi is a random variable (r.v.) with values in 1 1 (1R1 , 8 ) and distribution Pi (1R1 is the real line, and 8 is the cr-algebra of its Borel subsets). Let us also assume that the unknown distribution Pi belongs to a 1 certain parametric family {Pi() , () E e}. We call the triple £i = {1R1 , 8 , Pi(), () E e} a statistical experiment generated by the observation Xi. n We shall say that a statistical experiment £n = {lRn, 8 , P; ,() E e} is the product of the statistical experiments £i, i = 1, ... ,n if PO' = P () X ... X P () (IRn 1 n n is the n-dimensional Euclidean space, and 8 is the cr-algebra of its Borel subsets). In this manner the experiment £n is generated by n independent observations X = (X1, ... ,Xn). In this book we study the statistical experiments £n generated by observations of the form j = 1, ... ,n. (0.1) Xj = g(j, (}) + cj, c c In (0.1) g(j, (}) is a non-random function defined on e , where e is the closure in IRq of the open set e ~ IRq, and C j are independent r. v .-s with common distribution function (dJ.) P not depending on ().

Download or read book Orthonormal Series Estimators written by Odile Pons and published by World Scientific. This book was released on 2020-01-22 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis. This book presents series estimators defined by projections on bases of functions, they extend the estimators of densities to mixture models, deconvolution and inverse problems, to semi-parametric and nonparametric models for regressions, hazard functions and diffusions. They are estimated in the Hilbert spaces with respect to the distribution function of the regressors and their optimal rates of convergence are proved. Their mean square errors depend on the size of the basis which is consistently estimated by cross-validation. Wavelets estimators are defined and studied in the same models.The choice of the basis, with suitable parametrizations, and their estimation improve the existing methods and leads to applications to a wide class of models. The rates of convergence of the series estimators are the best among all nonparametric estimators with a great improvement in multidimensional models. Original methods are developed for the estimation in deconvolution and inverse problems. The asymptotic properties of test statistics based on the estimators are also established.

Download or read book Asymptotic Properties of Recursive M estimators in an Infinite dimensional Hilbert Space written by Xiaohong Chen and published by . This book was released on 1993 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asymptotic Properties of Econometric Estimators written by Jeffrey M. Wooldridge and published by . This book was released on 1986 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asymptomatic Properties of the Maximum Likelihood and Non linear Least Squares Estimators for Noninvertible Moving Average Models written by Katsuto Tanaka and published by . This book was released on 1987 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Properties of Ordinary Least Squares Estimators in Regression Models with Non spherical Disturbances written by Denzil G. Fiebig and published by . This book was released on 1989 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asymptotic Properties in Space and Time of an Estimator in Non linear Functional Errors in variables Model written by István Fazekas and published by . This book was released on 1998 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asymptotic Statistics written by Petr Mandl and published by . This book was released on 1994 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Prague Symposia on Asymptotic Statistics represent a twenty years' tradi tion of contacts between Czech mathematical statisticians and the conference partic ipants. Both, as the organizers hope, return from the Symposia to their work with fresh ideas and new information. The Fifth Prague Symposium was held from September 4 to September 9,1993 at the Faculty of Mathematics and Physics, Charles University. It was sponsored by the Bernoulli Society for Mathematical Statistics and Probability, the Czech Statistical the Czech Society of Actuaries, Ceska Pojistovna-Insurance and Reinsur Society, ance Corporation, and the IFIP WG 7.7. Asymptotic Statistics, a prolific source of methodological concepts, dominated the program of the Symposium. Special sessions were devoted to Mathematics of Insurance and Finance and to Stochastic Programming. The papers presented at the Symposium are published in two parts. Part 1 is .. Part 2 is Number 3, Volume 30 (1994) of the journal Kybernetika, this volume comprising the papers of the authors who were not able to meet the early editorial deadline. The editors of the Proceedings would like to express their sincere thanks to the authors for valuable contributions, to the reviewers for prompt and careful reading the papers, to J. Antoch for his advice with technical part of the Proceedings. Finally they also express their appreciation of the kind cooperation with the Publishing House Physica-Verlag and the journal Kybernetika in bringing out the volumes. Part of the Proceedings was typeset by AN(S-TEX, the macrosystem of the Ame rican Mathematical Society.

Download or read book Nonlinear Estimation written by Gavin Ross and published by Springer. This book was released on 1990-08-17 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms, more reliable dispersion matrices and confidence regions for parameters, and easier comparison of rival models. The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets. The book combines an algebraic, a geometric and a computational approach, and is illustrated with practical examples. A final chapter shows how this approach is implemented in the author's Maximum Likelihood Program, MLP.

Download or read book Nonlinear Lp Norm Estimation written by Rene Gonin and published by CRC Press. This book was released on 1989-02-10 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lp-norm estimation in linear regression; The nonlinear l1-norm estimation problem; The nonlinear L OO-norm estimation proble; The nonlinear Lp-norm estimation problem; Statistical aspects of Lp-norm estimators; Application of Lp-norm estimation.

Download or read book Studies in Nonlinear Estimation written by Stephen M. Goldfeld and published by . This book was released on 1976 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Switching regression models; Estimation of production functions; Estimation of expenditure systems; Limited dependent variables.

Download or read book Asymptotic Efficiency of Statistical Estimators Concepts and Higher Order Asymptotic Efficiency written by Masafumi Akahira and published by Springer. This book was released on 2011-11-22 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is a collection of results recently obtained by the authors. Most of these have been published, while others are awaitlng publication. Our investigation has two main purposes. Firstly, we discuss higher order asymptotic efficiency of estimators in regular situa tions. In these situations it is known that the maximum likelihood estimator (MLE) is asymptotically efficient in some (not always specified) sense. However, there exists here a whole class of asymptotically efficient estimators which are thus asymptotically equivalent to the MLE. It is required to make finer distinctions among the estimators, by considering higher order terms in the expansions of their asymptotic distributions. Secondly, we discuss asymptotically efficient estimators in non regular situations. These are situations where the MLE or other estimators are not asymptotically normally distributed, or where l 2 their order of convergence (or consistency) is not n / , as in the regular cases. It is necessary to redefine the concept of asympto tic efficiency, together with the concept of the maximum order of consistency. Under the new definition as asymptotically efficient estimator may not always exist. We have not attempted to tell the whole story in a systematic way. The field of asymptotic theory in statistical estimation is relatively uncultivated. So, we have tried to focus attention on such aspects of our recent results which throw light on the area.