[下载]硕士学位论文农村居民食物消费结构变动及其对粮食需求影响的实证分析 [推广有奖]

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hanszhu 发表于 2006-4-10 08:50:00

Geweke J.F.1; Keane M.P.; Runkle D.E.: Statistical Inference in the Multinominal

Statistical Inference in the Multinominal Multiperiod Probit Model

Authors: Geweke J.F.¹; Keane M.P.; Runkle D.E.

Source: Journal of Econometrics, Volume 80, Number 1, September 1997, pp. 125-165(41)

Publisher:Elsevier Science

47811.pdf (1.48 MB)

[此贴子已经被作者于2006-4-10 8:56:06编辑过]

222楼

hanszhu 发表于 2006-4-10 23:30:00

[下载]Process Control : A First Course with MATLAB

Process Control : A First Course with MATLAB

Pao C. Chau, Arvind Varma

Book Description

Process Control covers the most essential aspects of process control suitable for a one-semester introductory course. While classical techniques are discussed, Chau also covers state space modeling and control, a modern control topic lacking in most introductory texts. MATLAB, a popular engineering software package, is employed as a powerful yet approachable computational tool. Each chapter concludes with problem sets, to which hints or solutions are provided. The support website provides excellent support in the way of MATLAB outputs of text examples and MATLAB sessions, references, and supplementary notes

Product Details

Paperback: 328 pages
Publisher: Cambridge University Press (August 26, 2002)
Language: English
ISBN: 0521002559

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223楼

hanszhu 发表于 2006-4-10 23:40:00

[下载]John Kling.Predicting the Turning Points of Business and Economic Time Serie

Predicting the Turning Points of Business and Economic Time Series

John L. Kling

Abstract

Standard linear least-squares prediction methods are not directly applicable to making probability statements about time series turning points. William F. Wecker suggested a method for extending the least-squares technique to allow computation of the probability distribution of turning points of a time series. Wecker's analysis was univariate and did not consider all sources of uncertainty (i.e., estimates of coefficients). The primary purpose of this paper is fourfold: (1) to extend Wecker's analysis to the case of the multiple time-series model; (2) to consider most sources of model uncertainty; (3) to test the procedure for reliability (method of calibrations); and (4) to demonstrate some interesting applications. Copyright 1987 by University of Chicago Press.

Publisher Info

Article provided by University of Chicago Press in its journal Journal of Business.

Volume (Year): 60 (1987)
Issue (Month): 2 (April)
Pages: 201-38

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224楼

hanszhu 发表于 2006-4-11 07:37:00

[下载]Understanding Neural Networks as Statistical Tools

Understanding Neural Networks as Statistical Tools

Brad Warner, Manavendra Misra

Abstract: Neural networks have received a great deal of attention over the last few years. They are being used in the areas of prediction and classification; areas where regression models and other related statistical techniques have traditionally been used. In this paper, we discuss neural networks and compare them to regression models. We start by exploring the history of neural networks. This includes a review of relevant literature on the topic of neural networks. Neural network nomenclature is then

47921.pdf (2.94 MB)

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