Exploratory Data Analysis With Matlab

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Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka
Publisher : CRC Press
Page : 686 pages
File Size : 52,9 Mb
Release : 2017-08-07
Category : Mathematics
ISBN : 9781315349848

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka Pdf

Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka
Publisher : Chapman & Hall/CRC Computer Science & Data Analysis
Page : 590 pages
File Size : 48,6 Mb
Release : 2022-03-31
Category : Electronic
ISBN : 1032179058

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey L. Solka Pdf

This book describes the various methods used for exploratory data analysis with an emphasis on MATLAB implementation. It covers approaches for visualizing data, data tours and animations, clustering (or unsupervised learning), dimensionality reduction, and more. A set of graphical user interfaces allows users to apply the ideas to their own data.

Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Publisher : CRC Press
Page : 430 pages
File Size : 49,6 Mb
Release : 2004-11-29
Category : Business & Economics
ISBN : 9780203483374

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez Pdf

Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger a

Exploratory Data Analysis with MATLAB

Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Exploratory Data Analysis with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez
Publisher : CRC Press
Page : 525 pages
File Size : 46,5 Mb
Release : 2010-12-16
Category : Business & Economics
ISBN : 9781439812211

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Exploratory Data Analysis with MATLAB by Wendy L. Martinez,Angel R. Martinez,Jeffrey Solka,Angel Martinez Pdf

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines An expanded set of methods for estimating the intrinsic dimensionality of a data set Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images Instructions on a free MATLAB GUI toolbox for EDA Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info

Computational Statistics Handbook with MATLAB

Wendy L. Martinez,Angel R. Martinez
Computational Statistics Handbook with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez
Publisher : CRC Press
Page : 794 pages
File Size : 54,6 Mb
Release : 2007-12-20
Category : Mathematics
ISBN : 9781420010862

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Computational Statistics Handbook with MATLAB by Wendy L. Martinez,Angel R. Martinez Pdf

As with the bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as

Exploratory Data Analysis with MATLAB, Second Edition

Wendy L. Martinez,Angel Martinez,Jeffrey Solka
Exploratory Data Analysis with MATLAB Second Edition Book PDF

Author : Wendy L. Martinez,Angel Martinez,Jeffrey Solka
Publisher : CRC Press
Page : 536 pages
File Size : 41,5 Mb
Release : 2010-12-16
Category : Business & Economics
ISBN : 1439812209

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Exploratory Data Analysis with MATLAB, Second Edition by Wendy L. Martinez,Angel Martinez,Jeffrey Solka Pdf

Since the publication of the bestselling first edition, many advances have been made in exploratory data analysis (EDA). Covering innovative approaches for dimensionality reduction, clustering, and visualization, Exploratory Data Analysis with MATLAB®, Second Edition uses numerous examples and applications to show how the methods are used in practice. New to the Second Edition Discussions of nonnegative matrix factorization, linear discriminant analysis, curvilinear component analysis, independent component analysis, and smoothing splines An expanded set of methods for estimating the intrinsic dimensionality of a data set Several clustering methods, including probabilistic latent semantic analysis and spectral-based clustering Additional visualization methods, such as a rangefinder boxplot, scatterplots with marginal histograms, biplots, and a new method called Andrews’ images Instructions on a free MATLAB GUI toolbox for EDA Like its predecessor, this edition continues to focus on using EDA methods, rather than theoretical aspects. The MATLAB codes for the examples, EDA toolboxes, data sets, and color versions of all figures are available for download at http://pi-sigma.info

Data Analysis in Sport

Peter O'Donoghue,Lucy Holmes
Data Analysis in Sport Book PDF

Author : Peter O'Donoghue,Lucy Holmes
Publisher : Routledge
Page : 192 pages
File Size : 47,7 Mb
Release : 2014-10-24
Category : Medical
ISBN : 9781317810377

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Data Analysis in Sport by Peter O'Donoghue,Lucy Holmes Pdf

Making sense of sports performance data can be a challenging task but is nevertheless an essential part of performance analysis investigations. Focusing on techniques used in the analysis of sport performance, this book introduces the fundamental principles of data analysis, explores the most important tools used in data analysis, and offers guidance on the presentation of results. The book covers key topics such as: The purpose of data analysis, from statistical analysis to algorithmic processing Commercial packages for performance and data analysis, including Focus, Sportscode, Dartfish, Prozone, Excel, SPSS and Matlab Effective use of statistical procedures in sport performance analysis Analysing data from manual notation systems, player tracking systems and computerized match analysis systems Creating visually appealing ‘dashboard’ interfaces for presenting data Assessing reliability. The book includes worked examples from real sport, offering clear guidance to the reader and bringing the subject to life. This book is invaluable reading for any student, researcher or analyst working in sport performance or undertaking a sport-related research project or methods course

Secondary Analysis of Electronic Health Records

MIT Critical Data
Secondary Analysis of Electronic Health Records Book PDF

Author : MIT Critical Data
Publisher : Springer
Page : 427 pages
File Size : 48,9 Mb
Release : 2016-09-09
Category : Medical
ISBN : 9783319437422

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Secondary Analysis of Electronic Health Records by MIT Critical Data Pdf

This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.

MATLAB for Machine Learning

Giuseppe Ciaburro
MATLAB for Machine Learning Book PDF

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
Page : 374 pages
File Size : 51,8 Mb
Release : 2017-08-28
Category : Computers
ISBN : 9781788399395

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MATLAB for Machine Learning by Giuseppe Ciaburro Pdf

Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Computational Statistics Handbook with MATLAB

Wendy L. Martinez,Angel R. Martinez
Computational Statistics Handbook with MATLAB Book PDF

Author : Wendy L. Martinez,Angel R. Martinez
Publisher : CRC Press
Page : 611 pages
File Size : 53,9 Mb
Release : 2001-09-26
Category : Mathematics
ISBN : 9781420035636

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Computational Statistics Handbook with MATLAB by Wendy L. Martinez,Angel R. Martinez Pdf

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice with

Statistics in MATLAB

MoonJung Cho,Wendy L. Martinez
Statistics in MATLAB Book PDF

Author : MoonJung Cho,Wendy L. Martinez
Publisher : CRC Press
Page : 280 pages
File Size : 49,8 Mb
Release : 2014-12-15
Category : Business & Economics
ISBN : 9781466596573

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Statistics in MATLAB by MoonJung Cho,Wendy L. Martinez Pdf

This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics. Fulfilling the need for a practical user's guide, the book covers capabilities in the main MATLAB package, the Statistics Toolbox, and the student version of MATLAB, presenting examples of how MATLAB can be used to analyze data. It explains how to determine what method should be used for analysis, and includes figures, visual aids, and access to a companion website with data sets and additional examples.

Handbook of Statistical Methods for Case-Control Studies

Ørnulf Borgan,Norman Breslow,Nilanjan Chatterjee,Mitchell H. Gail,Alastair Scott,Chris J. Wild
Handbook of Statistical Methods for Case Control Studies Book PDF

Author : Ørnulf Borgan,Norman Breslow,Nilanjan Chatterjee,Mitchell H. Gail,Alastair Scott,Chris J. Wild
Publisher : CRC Press
Page : 700 pages
File Size : 53,6 Mb
Release : 2018-06-27
Category : Mathematics
ISBN : 9781351650120

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Handbook of Statistical Methods for Case-Control Studies by Ørnulf Borgan,Norman Breslow,Nilanjan Chatterjee,Mitchell H. Gail,Alastair Scott,Chris J. Wild Pdf

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and methods. The handbook is designed to serve as a reference text for biostatisticians and quantitatively-oriented epidemiologists who are working on the design and analysis of case-control studies or on related statistical methods research. Though not specifically intended as a textbook, it may also be used as a backup reference text for graduate level courses. Book Sections Classical designs and causal inference, measurement error, power, and small-sample inference Designs that use full-cohort information Time-to-event data Genetic epidemiology About the Editors Ørnulf Borgan is Professor of Statistics, University of Oslo. His book with Andersen, Gill and Keiding on counting processes in survival analysis is a world classic. Norman E. Breslow was, at the time of his death, Professor Emeritus in Biostatistics, University of Washington. For decades, his book with Nick Day has been the authoritative text on case-control methodology. Nilanjan Chatterjee is Bloomberg Distinguished Professor, Johns Hopkins University. He leads a broad research program in statistical methods for modern large scale biomedical studies. Mitchell H. Gail is a Senior Investigator at the National Cancer Institute. His research includes modeling absolute risk of disease, intervention trials, and statistical methods for epidemiology. Alastair Scott was, at the time of his death, Professor Emeritus of Statistics, University of Auckland. He was a major contributor to using survey sampling methods for analyzing case-control data. Chris J. Wild is Professor of Statistics, University of Auckland. His research includes nonlinear regression and methods for fitting models to response-selective data.

Computational Finance

Francesco Cesarone
Computational Finance Book PDF

Author : Francesco Cesarone
Publisher : Routledge
Page : 284 pages
File Size : 43,8 Mb
Release : 2020-06-11
Category : Business & Economics
ISBN : 9781000169034

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Computational Finance by Francesco Cesarone Pdf

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.

Functional Data Analysis with R and MATLAB

James Ramsay,Giles Hooker,Spencer Graves
Functional Data Analysis with R and MATLAB Book PDF

Author : James Ramsay,Giles Hooker,Spencer Graves
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 55,9 Mb
Release : 2009-06-29
Category : Computers
ISBN : 9780387981857

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Functional Data Analysis with R and MATLAB by James Ramsay,Giles Hooker,Spencer Graves Pdf

The book provides an application-oriented overview of functional analysis, with extended and accessible presentations of key concepts such as spline basis functions, data smoothing, curve registration, functional linear models and dynamic systems Functional data analysis is put to work in a wide a range of applications, so that new problems are likely to find close analogues in this book The code in R and Matlab in the book has been designed to permit easy modification to adapt to new data structures and research problems

MATLAB for Behavioral Scientists

David A. Rosenbaum,Jonathan Vaughan,Brad Wyble
MATLAB for Behavioral Scientists Book PDF

Author : David A. Rosenbaum,Jonathan Vaughan,Brad Wyble
Publisher : Routledge
Page : 401 pages
File Size : 46,8 Mb
Release : 2014-07-17
Category : Psychology
ISBN : 9781136281082

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MATLAB for Behavioral Scientists by David A. Rosenbaum,Jonathan Vaughan,Brad Wyble Pdf

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book’s program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: •Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. •More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. •A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. •A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. •Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.