发现一本好书：《Modern Multivariate Statistical Techniques》

书籍获取途径介绍
最新推荐文章于 2022-10-26 09:24:45 发布
转载 最新推荐文章于 2022-10-26 09:24:45 发布 · 207 阅读 · 0

博客介绍了书籍的获取途径，Google Books可预览部分内容，Amazon可购买，淘宝有打印版，毛驴（推测可能有误，也许是某平台）可下载。

Google Books 可以预览部分。

Amazon有卖的。

淘宝上有打印的。

毛驴上有下的。

机器学习(一)：绪论
qq_43360009的博客
09-13 622
一、绪论 随着人工智能成为各个领域的热门，机器学习也成为当下的热门研究领域。在实际场景中，人们研究的重点是寻找合适的模型，正确的参数，以解决实际问题；在统计学中，机器学习又称做统计学习，研究的重点是推导原理，寻找新的方法，确保新的方法有科学，能够解释的原理，并且使结果更加精准。目前，各行各业都已经有成熟的机器学习方法处理业务问题，但其原理与目前最前沿的机器学习理论还有一定差距，所以将理论应用于实际仍有较长的路要走 机器学习的流程 数据预处理 机器学习的实现需要大量的数据支持，这些数据形成的集合即为数据集
reduced rank regression model
QAQchichong的博客
05-12 1430
Multivariate linear regression is a natural extension of multiple linear regression in that both techniques try to interpret possible linear relationships between certain input and output variables. Multiple regression is concerned with studying to what e.
Statistical methods for spatial data analysis
09-26
The study of statistical methods for spatial data analysis presents challenges that are fairly unique within the statistical sciences. Like few other areas, spatial statistics draws on and brings together philosophies, methodologies, and techniques that are typically taught separately in statistical curricula. Understanding spatial statistics requires tools from applied statistics, mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a different mindset, one focused on the unique characteristics of spatial data, and additional analytical tools designed explicitly for spatial data analysis.
Springer-Modern.Multivariate.Statistical.Techniques.Regression.classification.and.manifold.learning.(2008)
07-20
Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.
从淘宝上打印了三本书
aobannie0463的博客
06-27 154
老外的偏门技术书太贵，买不起了，电子版看着太累，只好从淘宝打印。先忏悔一下——我有罪。 打印了三本书： 1，Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning 2，Feature Extraction & Image Process...
Streamline: 统计学学习与进阶
weixin_30332241的博客
07-28 473
[关于统计学专业的学习进阶] Introductory 1.1 Introduction to Statistical Reasoning 　　统计学概念（实验设计、描述统计、相关和回归、概率、抽样、机会模型、显著性检验等） 　　Textbook: Seeing Through Statistics, Jessica M. Utts, 2008 1.2 Introduction to Stati...
左耳听风——笔记二：程序员练级攻略
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页页的博客
10-26 8万+
左耳听风——笔记二：程序员练级攻略
Time Series Anomaly Detection: Case Analysis and Practical Techniques
In the modern IT field, especially within the realm of time series data analysis, anomaly detection is a crucial process. Time series data typically refers to a sequence of data points arranged in ...
多元统计技术：回归、分类与流形学习
"Modern Multivariate Statistical Techniques" 是一本由 Alan Julian Izenman 编写的关于多元统计技术的专业书籍，属于 Springer Texts in Statistics 系列，由 George Casella, Stephen Fienberg 和 Ingram Olkin ...
Statistical Methods for Reliability Data
02-26
可靠性数据分析经典书籍Statistical Methods for Reliability Data
Time Series Autoregressive Models: In-depth Exploration and Practical Techniques
# Machine Learning Methods in Time Series Prediction When analyzing and predicting time series data, autoregressive models (Autoregressive, AR) are powerful tools. These models assume that the ...
四十一、Python统计模块statistics
微信号：RunsenLiu
05-06 1839
官网： https://docs.python.org/3/library/statistics.html Python统计模块statistics # 计算平均数 import statistics data = [1,2,3,4,5.6] print(statistics.mean(data))# 3.12 # 等同于 print(sum(data)/len(data)) 3.12...
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09-12
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an introduction to multivariate statistical analysis 2003
09-12
《多元统计分析导论2003》是一本介绍多元统计分析的书籍。它于2003年出版，旨在向读者介绍多元统计分析的基本理论和方法。 这本书主要包含以下几个方面的内容。首先，它介绍了多元统计分析的概念、重要性和应用范围...
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