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  1. The Elements of Statistical Learning.2ed,英文版

  2. Preface . 1 Introduction 2 Overview of Supervised Learning 2.1 Introduction 2.2 Variable Types and Terminology 2.3 Two Simple Approaches to Prediction: Least Squares and Nearest Neighbors 2.4 Statistical Decision Theory 2.5 Lo.cal Methods in High Di
  3. 所属分类:Java

    • 发布日期:2009-10-14
    • 文件大小:8388608
    • 提供者:wht_hebut
  1. The Elements of Statistical Learning

  2. Preface to the Second Edition vii Preface to the First Edition xi 1 Introduction 1 2 Overview of Supervised Learning 9 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2 Variable Types and Terminology . . . . . . . . . . . . .
  3. 所属分类:Web开发

    • 发布日期:2009-10-28
    • 文件大小:8388608
    • 提供者:yangyx_006
  1. Categorical Data Analysis Using The SAS System

  2. Chapter 1. Introduction 1 1.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Scale of Measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Sampling Frameworks . . . . . . . . . . . . . .
  3. 所属分类:硬件开发

    • 发布日期:2009-11-06
    • 文件大小:27262976
    • 提供者:dai4922277
  1. Continuous Univariate Distributions, Vol. 1

  2. Continuous Univariate Distributions, Vol.
  3. 所属分类:Veritas

    • 发布日期:2010-03-11
    • 文件大小:19922944
    • 提供者:dy_chen
  1. C4.5算法介绍-pdf文件

  2. C4.5算法介绍 The aim of this article is to show a brief descr iption about the C4.5 algorithm, used to create Univariate Decision Trees. We also talk about Multivariate Decision Trees, their process to classify instances using more than one attribute pe
  3. 所属分类:C

    • 发布日期:2010-04-20
    • 文件大小:256000
    • 提供者:anthonyjack
  1. Statistical simulation 2010.pdf

  2. This monograph primarily concerns the use of power method polynomials in the context of simulating univariate and multivariate nonnormal distributions with specified cumulants and correlation matrices.
  3. 所属分类:专业指导

    • 发布日期:2010-06-21
    • 文件大小:1048576
    • 提供者:evogame
  1. Game physics

  2. Game physics ------------------------ 本书更像是一本物理学概论,游戏开发的部分偏少,下与不下你自己定夺。 ---------------------------------------- Trademarks Figures Tables Preface About the CD-ROM INTRODUCTION 1.1 a brief history of the world 1.2 a summary of the topics 1.3 Example
  3. 所属分类:C

    • 发布日期:2010-09-29
    • 文件大小:11534336
    • 提供者:osoon
  1. The UNIVARIATE Procedure HISTOGRAM Statement.

  2. sas The UNIVARIATE Procedure HISTOGRAM Statement.
  3. 所属分类:金融

    • 发布日期:2012-03-02
    • 文件大小:870400
    • 提供者:frenchmay
  1. Univariate Distribution Relationships

  2. Math tools that help you to develop model, estimate something.
  3. 所属分类:系统集成

    • 发布日期:2012-12-12
    • 文件大小:77824
    • 提供者:liuch37
  1. occam一维反演

  2. C----------------------------------------------------------------------- program runocc C----------------------------------------------------------------------- c C OCCAM 2.0: Steven Constable IGPP/SIO La Jolla CA 92093-0225 c Program Revision 2.01,
  3. 所属分类:其它

    • 发布日期:2013-04-21
    • 文件大小:56320
    • 提供者:u010380504
  1. Analysis of Integrated and Cointegrated Time Series with R

  2. 用纯粹R语言做协整的书,感觉不错。 Part I Theoretical Concepts 1 Univariate Analysis of Stationary Time Series............. 3 1.1 CharacteristicsofTime Series............................. 3 1.2 AR(p ) Time SeriesProcess ............................... 6 1.3 MA(q ) T
  3. 所属分类:金融

    • 发布日期:2013-05-04
    • 文件大小:1048576
    • 提供者:mathutopia
  1. R for Everyone Advanced Analytics and Graphics, Lander, 2014

  2. 开源的R语言是全世界数据科学家使用最广泛的语言。 --- Statistical Computation for Programmers, Scientists, Quants, Users, and Other Professionals Using the R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditi
  3. 所属分类:其它

    • 发布日期:2014-11-19
    • 文件大小:17825792
    • 提供者:u013794906
  1. Data Analysis with Open Source Tools by Philipp K. Janert

  2. These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but with
  3. 所属分类:专业指导

    • 发布日期:2016-05-02
    • 文件大小:15728640
    • 提供者:u011860465
  1. An Introduction to Markov Chain Monte Carlo Methods and Their Actuarial Applications

  2. This paper introduces the readers of the Proceedings to an important class of computer based simulation techniques known as Markov Chain Monte Carlo (MCMC) methods. General properties characterizing these methods will be discussed, but the main emph
  3. 所属分类:专业指导

    • 发布日期:2008-11-27
    • 文件大小:494592
    • 提供者:huxinglei2006
  1. python arch 手册

  2. arch arch提供了Univariate volatility模型,Bootstrapping和Multiple comparison procedures
  3. 所属分类:Python

    • 发布日期:2017-05-09
    • 文件大小:1048576
    • 提供者:iamoyjj
  1. Computer Age Statistical Inference: Algorithms,Evidence,and Data Science.

  2. 1 Algorithms and Inference 3 1.1 A Regression Example 4 1.2 Hypothesis Testing 8 1.3 Notes 11 2 Frequentist Inference 12 2.1 Frequentism in Practice 14 2.2 Frequentist Optimality 18 2.3 Notes and Details 20 3 Bayesian Inference 22 3.1 Two Examples 2
  3. 所属分类:机器学习

    • 发布日期:2017-06-03
    • 文件大小:4194304
    • 提供者:luxiaolei_09
  1. Generalized modified least squares in the univariate linear model

  2. Generalized modified least squares in the univariate linear model,刘绪庆,,In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. Th
  3. 所属分类:其它

    • 发布日期:2020-02-06
    • 文件大小:128000
    • 提供者:weixin_38527987
  1. PROC UNIVARIATE Procedure.pdf

  2. 统计分析软件SAS中关于UNIVARIATE过程步的详细解释说明Guido's Guide to PRoc Univariate, NESUG 2009, Burlington, VT Analysis of All Numeric Variables in Mylib. choljg The UNIvariatE Procedure Variable: AGe (Age of Patient) (1)Moments Sum Weights 100 Mean 47.3 Sum Observati
  3. 所属分类:其它

    • 发布日期:2019-07-04
    • 文件大小:325632
    • 提供者:weixin_45358850
  1. Custom-layout-in-Python-for-univariate-plots-源码

  2. 使用此代码段,可以在Python中进行自定义布局(行列格式的子图的期望数量)。 例如,如果用户要绘制为直方图的数据框有10个特征,则命令 add_plots(df,2,2,“直方图分布”) 将总共​​创建3个图形窗口,每个窗口在每个窗口中包含4,4,2的子图。 如果用户执行 add_plots(df,2,3,“直方图分布”) 将总共​​创建2个图形窗口,每个窗口在每个窗口中包含6,4的子图。 用户必须提供的输入是4 要绘制其数据的数据框 列图的子图数 按行的子图数量 哪种绘图类型(直方图/箱形图
  3. 所属分类:其它

    • 发布日期:2021-03-19
    • 文件大小:151552
    • 提供者:weixin_42099070
  1. Univariate-Time-Series-Prediction-using-Deep-Learning:使用深度学习和PyTorch的单变量时间序列预测-源码

  2. 使用深度学习进行单变量时间序列预测 使用深度学习和PyTorch的单变量时间序列预测 0.简介 该存储库使用深度学习模型(包括DNN , CNN , RNN , LSTM , GRU ,递归LSTM和Attention LSTM)提供单变量时间序列预测。 使用的数据集是“设备能源预测数据集” ,可以在找到。 1.定量分析 根据下表,使用1D卷积层的CNN胜过其他模型。 模型 湄↓ MSE↓ RMSE↓ MPE↓ MAPE↓ R平方↑ DNN 31.0077 4039.9806
  3. 所属分类:其它

    • 发布日期:2021-03-13
    • 文件大小:2097152
    • 提供者:weixin_42165490
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