Prediction in several conventional contexts

IF 11 Q1 STATISTICS & PROBABILITY Statistics Surveys Pub Date : 2012-12-01 DOI:10.1214/12-SS100

B. Clarke, J. Clarke

引用次数: 3

Abstract

We review predictive techniques from several traditional branches of statistics. Starting with prediction based on the normal model and on the empirical distribution function, we proceed to techniques for various forms of regression and classification. Then, we turn to time series, longitudinal data, and survival analysis. Our focus throughout is on the mechanics of prediction more than on the properties of predictors.

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几种常规情况下的预测

我们回顾了几个传统统计学分支的预测技术。从基于正态模型和经验分布函数的预测开始，我们继续讨论各种形式的回归和分类技术。然后，我们转向时间序列、纵向数据和生存分析。我们自始至终关注的是预测的机制，而不是预测者的属性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Statistics Surveys STATISTICS & PROBABILITY-

CiteScore

11.70

自引率

0.00%

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期刊介绍： Statistics Surveys publishes survey articles in theoretical, computational, and applied statistics. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. Statistics Surveys is sponsored by the American Statistical Association, the Bernoulli Society, the Institute of Mathematical Statistics, and by the Statistical Society of Canada.

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