Minitab Cookbook
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Minitab Cookbook
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Author : Isaac Newton
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-02-21
Minitab Cookbook written by Isaac Newton and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-21 with Computers categories.
This practical cookbook covers a broad range of topics in an easy-to-understand manner. Step-by-step instructions guide you through even the most complicated of tools in Minitab. This book is great for anyone who is familiar with statistics and who wants to learn how Minitab works. Whilst you do not need to be an expert in all areas of statistics, you should understand the basics of the chapters you are interested in.
Minitab Cookbook
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Author : Isaac Newton
language : en
Publisher: CreateSpace
Release Date : 2014-11-12
Minitab Cookbook written by Isaac Newton and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-12 with categories.
Over 110 practical recipes to explore the vast array of statistics in Minitab 17 Overview Gain an in-depth understanding of data formatting in Minitab Understand the steps required to generate great results with tools like regression, ANOVA, and multivariate statistics Useful and practical recipes that cover examples from a broad range of topics in Minitab In Detail Minitab has been a statistical package of choice across all numerous sectors of industry including education and finance. Correctly using Minitab's statistical tools is an essential part of good decision making and allows you to achieve your targeted results, while displaying fantastic charts and a powerful analysis will also communicate your results more effectively. "Minitab Cookbook" will take the mystery out of using Minitab and will simplify the steps to produce great results. This book will be hugely beneficial for anyone who knows what statistics or studies they want to run, but who is unsure about just what button to press or what option to select. In this book, you will learn how to use data from different sources and will be guided through the basics of graphs as well as the basics of hypothesis tests. You will explore the use of non-linear regression, how to construct complex ANOVAs, and even delve into Multivariate statistics. "Minitab Cookbook" is a great reference on how to create graphs, generate P-values, and how to put data in order. You will explore the basics of charts as well as into the complex depths of Factor analysis, and you will learn everything from the simplest of t-tests to the complexity of mixed model ANOVA. And finally, for all of you who want to write Macros, this book covers the use of Execs, Global, and Local Macros. What you will learn from this book Import data successfully into Minitab from Excel Explore the options for generating amazing charts Investigate differences between samples with inferential statistics Find the significant relationships in data by analyzing variance and using regression Work with control charts to view process variation Learn about Capability Analysis in Minitab for both normal and non normal data Find trends and seasonality in your data Apply Multivariate statistics to observe patterns and relationships across many variables Automate tasks using the Minitab Macro language Use Gage studies and MSA's to investigate measurement systems Approach This practical cookbook covers a broad range of topics in an easy-to-understand manner. Step-by-step instructions guide you through even the most complicated of tools in Minitab. Who this book is written for This book is great for anyone who is familiar with statistics and who wants to learn how Minitab works. Whilst you do not need to be an expert in all areas of statistics, you should understand the basics of the chapters you are interested in.
Measurement And Analysis In Transforming Healthcare Delivery
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Author : Peter J. Fabri
language : en
Publisher: Springer
Release Date : 2016-07-20
Measurement And Analysis In Transforming Healthcare Delivery written by Peter J. Fabri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-20 with Medical categories.
This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery. /div
Advances In Business And Management Forecasting
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Author : Kenneth D. Lawrence
language : en
Publisher: Emerald Group Publishing
Release Date : 2017-11-09
Advances In Business And Management Forecasting written by Kenneth D. Lawrence and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-09 with Business & Economics categories.
Volume 12 presents studies in the application of forecasting methodologies to such areas as supply chain, health care, prospecting for donations from university alumni, and the use of clustering and regression in forecasting. The orientation of this volume is for business applications for both the researcher and the practitioner of forecasting.
The Excel Data And Statistics Cookbook Third Edition
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Author : Larry Pace
language : en
Publisher: Lulu.com
Release Date : 2012-11-12
The Excel Data And Statistics Cookbook Third Edition written by Larry Pace and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Computers categories.
The Excel Data and Statistics Cookbook,3rd edition, covers all the basic descriptive and inferential statistics taught in an introductory class. Completely updated to illustrate Excel 2013, 2011 (for Mac), and 2010, this book is classroom-tested and instructor-approved.
Mathematica Cookbook
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Author : Sal Mangano
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2010-04-02
Mathematica Cookbook written by Sal Mangano and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-02 with Computers categories.
Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music. Although Mathematica 7 is a highly advanced computational platform, the recipes in this book make it accessible to everyone -- whether you're working on high school algebra, simple graphs, PhD-level computation, financial analysis, or advanced engineering models. Learn how to use Mathematica at a higher level with functional programming and pattern matching Delve into the rich library of functions for string and structured text manipulation Learn how to apply the tools to physics and engineering problems Draw on Mathematica's access to physics, chemistry, and biology data Get techniques for solving equations in computational finance Learn how to use Mathematica for sophisticated image processing Process music and audio as musical notes, analog waveforms, or digital sound samples
Soil Organic Carbon Mapping Cookbook
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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2018-05-21
Soil Organic Carbon Mapping Cookbook written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-21 with Technology & Engineering categories.
The Soil Organic Carbon Mapping cookbook provides a step-by-step guidance for developing 1 km grids for soil carbon stocks. It includes the preparation of local soil data, the compilation and pre-processing of ancillary spatial data sets, upscaling methodologies, and uncertainty assessments. Guidance is mainly specific to soil carbon data, but also contains many generic sections on soil grid development, as it is relevant for other soil properties. This second edition of the cookbook provides generic methodologies and technical steps to produce SOC maps and has been updated with knowledge and practical experiences gained during the implementation process of GSOCmap V1.0 throughout 2017. Guidance is mainly specific to SOC data, but as this cookbook contains generic sections on soil grid development it can be applicable to map various soil properties.
Rstudio For R Statistical Computing Cookbook
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Author : Andrea Cirillo
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-29
Rstudio For R Statistical Computing Cookbook written by Andrea Cirillo and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-29 with Computers categories.
Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature About This Book 54 useful and practical tasks to improve working systems Includes optimizing performance and reliability or uptime, reporting, system management tools, interfacing to standard data ports, and so on Offers 10-15 real-life, practical improvements for each user type Who This Book Is For This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the plunge into statistical computing will find this Cookbook particularly indispensable. What You Will Learn Familiarize yourself with the latest advanced R console features Create advanced and interactive graphics Manage your R project and project files effectively Perform reproducible statistical analyses in your R projects Use RStudio to design predictive models for a specific domain-based application Use RStudio to effectively communicate your analyses results and even publish them to a blog Put yourself on the frontiers of data science and data monetization in R with all the tools that are needed to effectively communicate your results and even transform your work into a data product In Detail The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the globe. RStudio is a useful and powerful tool for statistical analysis that harnesses the power of R for computational statistics, visualization, and data science, in an integrated development environment. This book is a collection of recipes that will help you learn and understand RStudio features so that you can effectively perform statistical analysis and reporting, code editing, and R development. The first few chapters will teach you how to set up your own data analysis project in RStudio, acquire data from different data sources, and manipulate and clean data for analysis and visualization purposes. You'll get hands-on with various data visualization methods using ggplot2, and you will create interactive and multidimensional visualizations with D3.js. Additional recipes will help you optimize your code; implement various statistical models to manage large datasets; perform text analysis and predictive analysis; and master time series analysis, machine learning, forecasting; and so on. In the final few chapters, you'll learn how to create reports from your analytical application with the full range of static and dynamic reporting tools that are available in RStudio so that you can effectively communicate results and even transform them into interactive web applications. Style and approach RStudio is an open source Integrated Development Environment (IDE) for the R platform. The R programming language is used for statistical computing and graphics, which RStudio facilitates and enhances through its integrated environment. This Cookbook will help you learn to write better R code using the advanced features of the R programming language using RStudio. Readers will learn advanced R techniques to compute the language and control object evaluation within R functions. Some of the contents are: Accessing an API with R Substituting missing values by interpolation Performing data filtering activities R Statistical implementation for Geospatial data Developing shiny add-ins to expand RStudio functionalities Using GitHub with RStudio Modelling a recommendation engine with R Using R Markdown for static and dynamic reporting Curating a blog through RStudio Advanced statistical modelling with R and RStudio
The Quality Toolbox
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Author : Nancy R. Tague
language : en
Publisher: Quality Press
Release Date : 2023-12-31
The Quality Toolbox written by Nancy R. Tague and has been published by Quality Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Business & Economics categories.
This book provides tools that are less commonly used and some tools that the author, Nancy Tague, created. Inside you’ll find tools for generating and organizing ideas, evaluating ideas, analyzing processes, determining root causes, planning, basic data handling, and statistics. In this third edition, six new tools were added (i.e., DFMEA and PMFEA) along with a section on Quality 4.0 and suggested quality tools that can help facilitate practitioners looking to implement Quality 4.0 concepts. The use of icons with each tool description tells the reader at a glance what kind of tool it is and where it is used within the improvement process.
Primer Of Applied Regression Analysis Of Variance
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Author : Stanton A. Glantz
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-09-01
Primer Of Applied Regression Analysis Of Variance written by Stanton A. Glantz and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-01 with Medical categories.
Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).