Object Oriented Data Analysis Object Oriented Data Analysis
    • $84.99

Publisher Description

Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices.

The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods.

While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas.

GENRE
Computers & Internet
RELEASED
2021
November 23
LANGUAGE
EN
English
LENGTH
436
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
27.3
MB
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2010
Similarity-Based Pattern Analysis and Recognition Similarity-Based Pattern Analysis and Recognition
2013
Nonlinear Dimensionality Reduction Techniques Nonlinear Dimensionality Reduction Techniques
2021
Structural, Syntactic, and Statistical Pattern Recognition Structural, Syntactic, and Statistical Pattern Recognition
2016
Clustering High--Dimensional Data Clustering High--Dimensional Data
2015
Intelligent Data Processing Intelligent Data Processing
2019
Dynamic Prediction in Clinical Survival Analysis Dynamic Prediction in Clinical Survival Analysis
2011
Hierarchical Modeling and Analysis for Spatial Data Hierarchical Modeling and Analysis for Spatial Data
2025
Robust Small Area Estimation Robust Small Area Estimation
2025
Robust Nonparametric Statistical Methods Robust Nonparametric Statistical Methods
2010
Statistical Methods for Stochastic Differential Equations Statistical Methods for Stochastic Differential Equations
2012
Maximum Likelihood Estimation for Sample Surveys Maximum Likelihood Estimation for Sample Surveys
2012