RHEL 7.1安装MySQL 5.6的依赖包：perl-Data-Dumper-2.145-3.el7.x86_64.rpm
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2023-09-29 15:47:21
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智能电池规范为便携式电子设备(如笔记本电脑系统、移动电话或摄像机)中使用的电池提供了一个理想的解决方案。从用户和设备的角度来看，电池目前都有许多限制。首先，它们代表着一种不可预知的力量。通常情况下，用户事先并不知道电池即将耗尽，也不知道还剩多少操作时间。其次，由电池供电的设备不能确定电池在其当前状态下是否能够为额外的负载(如旋转硬盘)提供足够的电力。第三，电池充电器必须为特定的电池化学成分量身定制，如果用在其他不同化学成分的电池上，可能会造成损坏。
2023-09-27 14:47:32
485KB
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深度linux软件商店５．６．３，适合Ｖ２０．deepin-app-store-data_5.6.3.13+c4-1_all.deb
2023-09-25 19:23:00
2.35MB
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Data Structures and Algorithm Analysis in C++ Third Edition (Mark Allen Weiss) 答案
国外的下载要教师资格。这本书不简单。所谓的编程思想，就在这了。
2023-09-23 17:01:18
3.1MB
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Web DataMining:Exploring Hyperlinks,Contents, and Usage Data 这本经典教材的讲义。
2023-09-21 10:16:14
19.54MB
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Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.
The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features:
A new chapter on Variable Selection (Lasso, SCAD and Elastic Net)
All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de.
The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
Table of Contents
Part I Descriptive Techniques
Chapter 1 Comparison of Batches
Part II Multivariate Random Variables
Chapter 2 A Short Excursion into Matrix Algebra
Chapter 3 Moving to Higher Dimensions
Chapter 4 Multivariate Distributions
Chapter 5 Theory of the Multinormal
Chapter 6 Theory of Estimation
Chapter 7 Hypothesis Testing
Part III Multivariate Techniques
Chapter 8 Regression Models
Chapter 9 Variable Selection
Chapter 10 Decomposition of Data Matrices by Factors
Chapter 11 Principal Components Analysis
Chapter 12 Factor Analysis
Chapter 13 Cluster Analysis
Chapter 14 Discriminant Analysis
Chapter 15 Correspondence Analysis
Chapter 16 Canonical Correlation Analysis
Chapter 17 Multidimensional Scaling
Chapter 18 Conjoint Measurement Analysis
Chapter 19 Applications in Finance
Chapter 20 Computationally Intensive Techniques
Part IV Appendix
Chapter 21 Symbols and Notations
Chapter 22 Data
2023-09-18 20:12:47
11.83MB
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