introduction to nonparametric estimation springer series in statistics

Download Book Introduction To Nonparametric Estimation Springer Series In Statistics in PDF format. You can Read Online Introduction To Nonparametric Estimation Springer Series In Statistics here in PDF, EPUB, Mobi or Docx formats.

Introduction To Nonparametric Estimation

Author : Alexandre B. Tsybakov
ISBN : 9780387790527
Genre : Mathematics
File Size : 87. 63 MB
Format : PDF, Docs
Download : 717
Read : 1037

Download Now


Developed from lecture notes and ready to be used for a course on the graduate level, this concise text aims to introduce the fundamental concepts of nonparametric estimation theory while maintaining the exposition suitable for a first approach in the field.

A Distribution Free Theory Of Nonparametric Regression

Author : László Györfi
ISBN : 9780387224428
Genre : Mathematics
File Size : 44. 46 MB
Format : PDF, Kindle
Download : 262
Read : 996

Download Now


This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.

Semiparametric And Nonparametric Methods In Econometrics

Author : Joel L. Horowitz
ISBN : 0387928707
Genre : Business & Economics
File Size : 54. 27 MB
Format : PDF, Docs
Download : 737
Read : 1130

Download Now


Standard methods for estimating empirical models in economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and statistical inference but are rarely justified by economic theory or other a priori considerations. Inference based on convenient but incorrect assumptions about functional forms and distributions can be highly misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and inference, thereby reducing the opportunities for obtaining misleading results. These methods are applicable to a wide variety of estimation problems in empirical economics and other fields, and they are being used in applied research with increasing frequency. The literature on nonparametric and semiparametric estimation is large and highly technical. This book presents the main ideas underlying a variety of nonparametric and semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the level taught in graduate-level courses in leading universities. The book emphasizes ideas instead of technical details and provides as intuitive an exposition as possible. Empirical examples illustrate the methods that are presented. This book updates and greatly expands the author’s previous book on semiparametric methods in econometrics. Nearly half of the material is new.

Nonparametric Curve Estimation

Author : Sam Efromovich
ISBN : 9780387226385
Genre : Mathematics
File Size : 79. 65 MB
Format : PDF, Kindle
Download : 315
Read : 1222

Download Now


This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.

Statistical Models Based On Counting Processes

Author : PER KRAGH ANDERSEN
ISBN : 9781461243489
Genre : Mathematics
File Size : 78. 99 MB
Format : PDF, ePub, Docs
Download : 160
Read : 316

Download Now


Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of many practical examples, drawn almost exclusively from the authors'own experience, with detailed numerical and graphical illustrations. Although Statistical Models Based on Counting Processes may be viewed as a research monograph for mathematical statisticians and biostatisticians, almost all the methods are given in concrete detail for use in practice by other mathematically oriented researchers studying event histories (demographers, econometricians, epidemiologists, actuarial mathematicians, reliability engineers and biologists). Much of the material has so far only been available in the journal literature (if at all), and so a wide variety of researchers will find this an invaluable survey of the subject.

All Of Nonparametric Statistics

Author : Larry Wasserman
ISBN : 0387306234
Genre : Mathematics
File Size : 83. 89 MB
Format : PDF, ePub
Download : 649
Read : 301

Download Now


This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference. The book is aimed at Masters or PhD level students in statistics, computer science, and engineering. It is also suitable for researchers who want to get up to speed quickly on modern nonparametric methods. It covers a wide range of topics including the bootstrap, the nonparametric delta method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and wavelets. The book’s dual approach includes a mixture of methodology and theory.

Nonparametric And Semiparametric Models

Author : Wolfgang Härdle
ISBN : 9783642171468
Genre : Mathematics
File Size : 43. 50 MB
Format : PDF, ePub, Mobi
Download : 874
Read : 316

Download Now


The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.

Breakthroughs In Statistics

Author : Samuel Kotz
ISBN : 0387940375
Genre : Mathematics
File Size : 68. 9 MB
Format : PDF, ePub
Download : 956
Read : 892

Download Now


McCrimmon, having gotten Grierson's attention, continued: "A breakthrough, you say? If it's in economics, at least it can't be dangerous. Nothing like gene engineering, laser beams, sex hormones or international relations. That's where we don't want any breakthroughs. " (Galbraith, 1. K. (1990) A Tenured Profes­ sor, Houghton Miffiin; Boston. ) To judge [astronomy] in this way [a narrow utilitarian point of view] demon­ strates not only how poor we are, but also how small, narrow, and indolent our minds are; it shows a disposition always to calculate the payolIbefore the work, a cold heart and a lack of feeling for everything that is great and honors man. One can unfortunately not deny that such a mode of thinking is not uncommon in our age, and I am convinced that this is closely connected with the catastro­ phes which have befallen many countries in recent times; do not mistake me, I do not talk of the general lack of concern for science, but of the source from which all this has come, of the tendency to everywhere look out for one's advan­ tage and to relate everything to one's physical well-being, of the indilIerence towards great ideas, ofthe aversion to any elIort which derives from pure enthu­ siasm: I believe that such attitudes, if they prevail, can be decisive in catas­ trophes of the kind we have experienced. [Gauss, K. F. : Astronomische An­ trittsvorlesung (cited from Buhler, W. K. (1981) Gauss: A Biographical Study, Springer: New York)].

All Of Statistics

Author : Larry Wasserman
ISBN : 9780387217369
Genre : Mathematics
File Size : 38. 85 MB
Format : PDF, Docs
Download : 756
Read : 1032

Download Now


Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Nonparametric Functional Data Analysis

Author : Frédéric Ferraty
ISBN : 9780387366203
Genre : Mathematics
File Size : 30. 79 MB
Format : PDF, ePub
Download : 724
Read : 767

Download Now


Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Top Download:

Best Books