Exploratory Data Analysis with MATLAB [1 ed.] 1584883669, 9781584883661

Think Stats: Exploratory Data Analysis 9781491907368, 1491907363

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics.

1,133 191 10MB Read more

Multivariate Exploratory Data Analysis: A Perspective on Exploratory Factor Analysis 0887065384, 9780887065385

In an exciting return to the roots of factor analysis, Allen Yates reviews its early history to clarify original objecti

632 155 3MB Read more

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights 9781803231105

Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive

1,910 103 10MB Read more

Exploratory Factor Analysis 1544339887, 9781544339887

A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral science

296 95 7MB Read more

Machine Component Analysis with MATLAB 9780128042458, 0128042451

Front Cover; Machine component analysis with MATLAB®; Copyright; Contents; Preface; 1 Stress and de ection; 1.1 Stress c

652 181 17MB Read more

Machine design analysis with MATLAB 9780128042298, 012804229X

Stress and deflection -- Fatigue failure -- Screws -- Rolling bearings -- Lubrication and sliding bearings -- Spur gears

1,624 327 4MB Read more

Practical Data Analysis with Python

4,336 670 2MB Read more

Functional Data Analysis with R and MATLAB [2009 ed.] 0387981845, 9780387981840

Scientists often collect samples of curves and other functional observations, and develop models where parameters are al

1,458 112 4MB Read more

MATLAB Mathematical Analysis

MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples

1,443 157 6MB Read more

Hands-On Exploratory Data Analysis with Python: Perform EDA techniques to understand, summarize, and investigate your data [1 ed.] 9781789535624

Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandas Key FeaturesUnd

584 80 20MB Read more