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 Multivariate Data Analysis
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The Design of CMOS Radio-Frequency Integrated Circuits, Second Edition
2023-09-15 04:42:17 13.01MB CMOS RF IC
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Digital Techniques for Wideband Receivers第3版,是关于数字信号处理技术的参考教材,作者是James Tsui和Chi-Hao Cheng.本书是高清文本pdf本非扫描版。
2023-09-09 13:12:46 12.87MB 宽带接收机 数字通信技术
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C Programming A Modern Approach, 2nd Edition(Part 2)
2023-08-28 10:52:20 28.47MB C lang
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C Programming A Modern Approach, 2nd Edition(Part 1)
2023-08-28 10:37:31 25.88MB C lang
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Game Engine Architecture (2nd Edition).pdf ,英文版,1018页
2023-08-26 11:24:29 65.05MB Game Engine Architecture
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dynaTrace Ajax:前端性能分析利器
2023-08-26 09:35:28 50MB dynatrace
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If you’re a web designer or app developer interested in sophisticated page styling, improved accessibility, and saving time and effort, this book is for you. This revised edition provides a comprehensive guide to CSS implementation, along with a thorough review of the latest CSS specifications. CSS is a constantly evolving language for describing the presentation of web content on screen, printers, speech synthesizers, screen readers, and chat windows. It is used by all browsers on all screen sizes on all types of IoT devices, including phones, computers, video games, televisions, watches, kiosks, and auto consoles. Authors Eric Meyer and Estelle Weyl show you how to improve user experience, speed development, avoid potential bugs, and add life and depth to your applications through layout, transitions and animations, borders, backgrounds, text properties, and many other tools and techniques. This guide covers: Selectors, specificity, and the cascade Values, units, fonts, and text properties Padding, borders, outlines, and margins Colors, backgrounds, and gradients Floats and positioning tricks Flexible box layout The new Grid layout system 2D and 3D transforms, transitions, and animation Filters, blending, clipping, and masking Media and feature queries
2023-08-20 22:28:51 83.83MB css
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Computer Systems_A Programmer’s Perspective, 3rd Edition 英文版
2023-08-14 15:08:03 35.97MB 计算机
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(1)整车动力性需求功率验算 1)最高车速对应的功率需求计算 最高车速时,车辆主要受到滚动阻力和风阻的影响,忽略坡度阻力的情况下,最 大需求功率 _ maxm vP 为 2 max max _ max ( ) 3600 21.15 d m v v C Av P mgf     ································ (4.1) 其中, max v 为最高车速;   为系统效率;m 为在原车整备质量基础上加载 165kg 后的质量。根据目标车型的基本参数可以得到在最高车速下的功率需求约为 45kW。 2)最大爬坡度对应的功率需求计算 以稳定车速 0 v 通过 max  的坡度时,车辆所需功率 0_ v P  为 0 2 minmin _ max max ( cos sin ) 3600 21.15 d v C Avv P mgf mg         ···················· (4.2) 取最大坡度为 30 度, max max arctan  。最低通过车速为 20km/h 时,所需功率为 36.3kW。 3)加速时间对应的功率需求计算 车辆加速过程中,所受到的阻力主要包括滚阻、风阻以及加速阻力,忽略坡路阻 力,加速后期所需功率最大,此时的加速功率需求 acc P 为 2 ( ) 3600 21.15 d acc f w j C Avv dv P P P P mgf m dt          ····················· (4.3) 其中, 为旋转质量换算系数; v为加速后期车速; dv dt 为加速后期加速度。 在初步验算过程中,为了简化计算,采用一种常用的等效方式表达加速过程中的 车速与加速末时车速和加速时间的关系,如式 4.4 所示[37] ( ) a m m t v v t  ································ ·············· (4.4) 其中, m v 为车辆加速后期车速; m t 为加速时间; a 为拟合系数,通常取为 0.5。 由此可得,加速时间需求功率为 3 2 1 ( ) 3600 1.5 52.875 7.2 m d m m acc m m m v C Av v P mgf t t m t      ························ (4.5) 初步估算得加速功率需求为 72.6kW,大于其他两个动力指标下的功率需求。 (2)基速比选择及电机功率需求计算
2023-08-09 20:07:00 6.33MB 论文 动力匹配 纯电动汽车 动力总成
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