The Statistical Toolbox

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A Biostatistics Toolbox for Data Analysis

Author : S. Selvin
Publisher : Cambridge University Press
ISBN 13 : 1107113083
Total Pages : 579 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis A Biostatistics Toolbox for Data Analysis by : S. Selvin

Download or read book A Biostatistics Toolbox for Data Analysis written by S. Selvin and published by Cambridge University Press. This book was released on 2015-10-20 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biostatistics Toolbox for Data Analysis delivers a sophisticated package of statistical methods for advanced master's (MPH) and PhD students in public health and epidemiology who are involved in the analysis of data. The book's statistical tools are organized into sections with similar objectives, each of which is accompanied by complete instructions, explanations, detailed examples, and advice on relevant issues and potential pitfalls.

Statistics in MATLAB

Author : MoonJung Cho
Publisher : CRC Press
ISBN 13 : 1466596570
Total Pages : 280 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Statistics in MATLAB by : MoonJung Cho

Download or read book Statistics in MATLAB written by MoonJung Cho and published by CRC Press. This book was released on 2014-12-15 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MATLAB for Machine Learning

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
ISBN 13 : 1788399390
Total Pages : 374 pages
Book Rating : 4.7/5 (883 download)

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Book Synopsis MATLAB for Machine Learning by : Giuseppe Ciaburro

Download or read book MATLAB for Machine Learning written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2017-08-28 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Wendy L. Martinez
Publisher : CRC Press
ISBN 13 : 1420010867
Total Pages : 794 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Computational Statistics Handbook with MATLAB by : Wendy L. Martinez

Download or read book Computational Statistics Handbook with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2007-12-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Wendy L. Martinez
Publisher : CRC Press
ISBN 13 : 1315349841
Total Pages : 589 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Quality Toolbox

Author : Nancy Tague
Publisher : Quality Press
ISBN 13 : 1953079008
Total Pages : 625 pages
Book Rating : 4.9/5 (53 download)

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Book Synopsis The Quality Toolbox by : Nancy Tague

Download or read book The Quality Toolbox written by Nancy Tague and published by Quality Press. This book was released on 2004-07-14 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as the newer management and planning tools. Tools are included for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, and basic data-handling and statistics. The book is written and organized to be as simple as possible to use so that anyone can find and learn new tools without a teacher. Above all, this is an instruction book. The reader can learn new tools or, for familiar tools, discover new variations or applications. It also is a reference book, organized so that a half-remembered tool can be found and reviewed easily, and the right tool to solve a particular problem or achieve a specific goal can be quickly identified. With this book close at hand, a quality improvement team becomes capable of more efficient and effective work with less assistance from a trained quality consultant. Quality and training professionals also will find it a handy reference and quick way to expand their repertoire of tools, techniques, applications, and tricks. For this second edition, Tague added 34 tools and 18 variations. The "Quality Improvement Stories" chapter has been expanded to include detailed case studies from three Baldrige Award winners. An entirely new chapter, "Mega-Tools: Quality Management Systems," puts the tools into two contexts: the historical evolution of quality improvement and the quality management systems within which the tools are used. This edition liberally uses icons with each tool description to reinforce for the reader what kind of tool it is and where it is used within the improvement process.

Data Analysis, Machine Learning and Applications

Author : Christine Preisach
Publisher : Springer Science & Business Media
ISBN 13 : 354078246X
Total Pages : 714 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Data Analysis, Machine Learning and Applications by : Christine Preisach

Download or read book Data Analysis, Machine Learning and Applications written by Christine Preisach and published by Springer Science & Business Media. This book was released on 2008-04-13 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Data Science at the Command Line

Author : Jeroen Janssens
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491947802
Total Pages : 207 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Data Science at the Command Line by : Jeroen Janssens

Download or read book Data Science at the Command Line written by Jeroen Janssens and published by "O'Reilly Media, Inc.". This book was released on 2014-09-25 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on plain text, CSV, HTML/XML, and JSON Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow using Drake Create reusable tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality reduction, clustering, regression, and classification algorithms

Statistics in Corpus Linguistics

Author : Vaclav Brezina
Publisher : Cambridge University Press
ISBN 13 : 1107125707
Total Pages : 317 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Statistics in Corpus Linguistics by : Vaclav Brezina

Download or read book Statistics in Corpus Linguistics written by Vaclav Brezina and published by Cambridge University Press. This book was released on 2018-09-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.

Statistics and Finance

Author : David Ruppert
Publisher : Springer
ISBN 13 : 1441968768
Total Pages : 488 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Statistics and Finance by : David Ruppert

Download or read book Statistics and Finance written by David Ruppert and published by Springer. This book was released on 2014-02-26 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the applications of statistics and probability to finance. The basics of these subjects are reviewed and more advanced topics in statistics, such as regression, ARMA and GARCH models, the bootstrap, and nonparametric regression using splines, are introduced as needed. The book covers the classical methods of finance and it introduces the newer area of behavioral finance. Applications and use of MATLAB and SAS software are stressed. The book will serve as a text in courses aimed at advanced undergraduates and masters students. Those in the finance industry can use it for self-study.

Global Sensitivity Analysis

Author : Andrea Saltelli
Publisher : John Wiley & Sons
ISBN 13 : 9780470725177
Total Pages : 304 pages
Book Rating : 4.7/5 (251 download)

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Book Synopsis Global Sensitivity Analysis by : Andrea Saltelli

Download or read book Global Sensitivity Analysis written by Andrea Saltelli and published by John Wiley & Sons. This book was released on 2008-02-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.

Matlab: Demystified Basic Concepts and Applications

Author : Sarma K.K.
Publisher : Vikas Publishing House
ISBN 13 : 8125937129
Total Pages : 352 pages
Book Rating : 4.1/5 (259 download)

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Book Synopsis Matlab: Demystified Basic Concepts and Applications by : Sarma K.K.

Download or read book Matlab: Demystified Basic Concepts and Applications written by Sarma K.K. and published by Vikas Publishing House. This book was released on with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the years, MATLAB has evolved into a powerful tool that provides assistance to professionals, scientists and engineers in diversifying their areas of expertise. Teachers and students alike have accepted the fact that very few choices exist to replace MATLAB as a tool that helps enhance the ability to understand and visualize. The effort here is to help the fledgling learner know the basic ideas and principles behind programming in MATLAB and the application of the vast storehouse of tools available in the library and supporting documentation.

Noise and Vibration Analysis

Author : Anders Brandt
Publisher : John Wiley & Sons
ISBN 13 : 0470978112
Total Pages : 481 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Noise and Vibration Analysis by : Anders Brandt

Download or read book Noise and Vibration Analysis written by Anders Brandt and published by John Wiley & Sons. This book was released on 2011-03-29 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study. Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysis Features numerous line diagrams and illustrations Accompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples. Noise and Vibration Analysis provides an excellent resource for researchers and engineers from automotive, aerospace, mechanical, or electronics industries who work with experimental or analytical vibration analysis and/or acoustics. It will also appeal to graduate students enrolled in vibration analysis, experimental structural dynamics, or applied signal analysis courses.

GPU Programming in MATLAB

Author : Nikolaos Ploskas
Publisher : Morgan Kaufmann
ISBN 13 : 0128051337
Total Pages : 320 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis GPU Programming in MATLAB by : Nikolaos Ploskas

Download or read book GPU Programming in MATLAB written by Nikolaos Ploskas and published by Morgan Kaufmann. This book was released on 2016-08-25 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development. - Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes - Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language - Presents case studies illustrating key concepts across multiple fields - Includes source code, sample datasets, and lecture slides

Exploratory Data Analysis with MATLAB

Author : Wendy L. Martinez
Publisher : CRC Press
ISBN 13 : 1498776078
Total Pages : 590 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Practice-Based Clinical Inquiry in Nursing

Author : Joan R. Bloch, PhD, CRNP
Publisher : Springer Publishing Company
ISBN 13 : 0826126995
Total Pages : 281 pages
Book Rating : 4.8/5 (261 download)

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Book Synopsis Practice-Based Clinical Inquiry in Nursing by : Joan R. Bloch, PhD, CRNP

Download or read book Practice-Based Clinical Inquiry in Nursing written by Joan R. Bloch, PhD, CRNP and published by Springer Publishing Company. This book was released on 2016-02-11 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meticulously compiled to serve the specific needs of APRNs and nurse executives engaged in doctoral-level research, this text provides evidence-based and practice-based scholarly methods not traditionally taught in PhD or DNP programs. Building on and expanding traditional nursing research methods, the book focuses on both existing and evolving methods of clinical inquiry, some of which incorporate technology and knowledge from other disciplines. These are approaches that can be translated into clinical practice, providing the nursing profession with unprecedented opportunities for collaboration in improving health and health care systems. Methods include quality improvement, implementation science, logic models, program planning and evaluation, patient-engaged and community participatory research, dissemination research, big data, comparative effectiveness research, and systematic reviews. Chapters provide clear guidance on why and how to use a particular method, and are consistently organized to enable a comparison and contrast of different approaches in order to select the one that best fits a particular research need. The text highlights the importance of each approach, and discusses why to use a particular method for doctoral nursing work. Chapters describe how to apply the method along with how to interpret findings and disseminate them. The description of each method concludes with examples from the published literature. Practical tips for impact and success in research and program proposals add further to the text's value. Key Features: Presents research methods specifically for doctoral-level evidence-based and practice-based clinical research Describes interdisciplinary health care methodologies focused on evidence-based improvement in health care Offers practical information on why and how to use each method Provides examples of each method from published literature Written by experienced academic and practice scholars from across the U.S.

Practical MATLAB Deep Learning

Author : Michael Paluszek
Publisher : Apress
ISBN 13 : 1484251245
Total Pages : 260 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical MATLAB Deep Learning by : Michael Paluszek

Download or read book Practical MATLAB Deep Learning written by Michael Paluszek and published by Apress. This book was released on 2020-02-07 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. Along the way, you'll learn to model complex systems, including the stock market, natural language, and angles-only orbit determination. You’ll cover dynamics and control, and integrate deep-learning algorithms and approaches using MATLAB. You'll also apply deep learning to aircraft navigation using images. Finally, you'll carry out classification of ballet pirouettes using an inertial measurement unit to experiment with MATLAB's hardware capabilities. What You Will LearnExplore deep learning using MATLAB and compare it to algorithmsWrite a deep learning function in MATLAB and train it with examplesUse MATLAB toolboxes related to deep learningImplement tokamak disruption predictionWho This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.