Statistical inference and prediction in unified hybrid censored power Lindley distributiondoi:10.1007/s41872-024-00295-1In this article, we develop the estimation and prediction methods for the power Lindley distribution based on the unified hybrid censored data. The maximum likelihood, maximum product ...
The Elements of Statistical Learning : Data Mining, Inference, and Prediction During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The ...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Second Edition Trevor Hastie Robert Tibshirani Jerome Friedman Springer,2008 内容简介 During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a...
我们希望估计f的主要原因有两个:预测(prediction)和推断(inference)。 预测(prediction) 在许多情况下,很容易获得一组输入X,但无法轻松获得输出Y,在这种情况下,由于误差项的平均值为零,我们可以使用如下形式的数学公式: 在这个公式中, \tilde{f} (因为知乎平台的符号设置有限,所以用波浪线表示)代表了对于 f 的...
The elements of statistical learning - Data mining, inference, and prediction 2ed_Trevor Hastie et al. (1) 热度: Seediscussions,stats,andauthorprofilesforthispublicationat:https://.researchgate.net/publication/225734295 TheElementsofStatisticalLearning:DataMining,Inference,andPrediction ...
副标题: Data Mining, Inference, and Prediction出版年: 2016-1-1页数: 745定价: GBP 62.99装帧: Hardcover丛书: Springer Series in StatisticsISBN: 9780387848570豆瓣评分 9.4 812人评价 5星 79.8% 4星 17.2% 3星 2.3% 2星 0.2% 1星 0.4% 评价: ...
The Elements of Statistical Learning: Data Mining, Inference, and PredictionSupervised learning (Machine learningNo abstract is available for this item.doi:10.1007/978-0-387-21606-5Z. Q. John Lu世界图书出版公司
当当中图上海进口图书旗舰店在线销售正版《[预定]The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition》。最新《[预定]The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition》简介、
It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting--...
1.1.1 估计f的目的: prediction or inference prediction (1)Y^=f^(X) whereˆf represents our estimate for f, andˆY represents the resulting prediction forhttp://Y.Inthis setting,ˆf is often treated as a black box 即不关心f具体形式,只关心能否正确预测 ...