Correlation And Regression
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Correlation And Regression Analysis
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Author : Thomas J. Archdeacon
language : en
Publisher: Univ of Wisconsin Press
Release Date : 1994
Correlation And Regression Analysis written by Thomas J. Archdeacon and has been published by Univ of Wisconsin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with History categories.
A blueprint for historians to understand and evaluate the variables and discusses the fundamentals of regression analysis. 2 looks at procedures for assessing the level of association among diagnostic methods for identifying and correcting shortcomings Finally, part 3 presents more advanced topics, including in regression models. quantitative analyses they're likely to encounter in journal literature and monographs on research in the social sciences. ignore the fact that most historians have little background in mathematics would be folly, to decipher equations and follow their logic. Concepts are introduced carefully, and the operation of equations is explained step by step. Annotation copyright by Book News, Inc., Portland, OR
Text Book Of Correlations And Regression
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Author : A.K. Sharma
language : en
Publisher: Discovery Publishing House
Release Date : 2005
Text Book Of Correlations And Regression written by A.K. Sharma and has been published by Discovery Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Correlation (Statistics) categories.
This book Correlation and Regression is an outcome of authors long teaching experience of the subject. This book present a thorough treatment of what is required for the students of B.A/B.Sc., of all Indian Universities. It includes fundamental concepts, illustrated examples and application to various problems. These illustrative examples have been selected carefully on such topic and sufficient number of unsolved questions are provided which aims at sharpening the skill of students. Contents: Correlation Analysis, Regression Analysis, Partial and Multiple Correlation.
Machine Learning And Big Data
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Author : Uma N. Dulhare
language : en
Publisher: John Wiley & Sons
Release Date : 2020-09-01
Machine Learning And Big Data written by Uma N. Dulhare and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.
This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Applying Regression And Correlation
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Author : Jeremy Miles
language : en
Publisher: SAGE
Release Date : 2001-03-08
Applying Regression And Correlation written by Jeremy Miles and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-08 with Mathematics categories.
Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
How To Use Correlation And Regression
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Author : Jonathan Sarwono
language : en
Publisher:
Release Date : 2017-10-31
How To Use Correlation And Regression written by Jonathan Sarwono and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-31 with categories.
Many people have difficulties in distinguishing between correlation and regression; consequently they cannot apply these two procedures correctly. The aim of this book is to clarify the basic concepts of correlation and regression so that we can use them easily. Correlation belongs to independent relationship. That is why there is no independent and dependent variables in correlation. While regression belongs to dependent relationship. Accordingly, in regression there must be a variable that can be identified as an independent variable and another variable that can be identified as a dependent variable. To make it easy to conduct calculation, the analysis process of the data analysis will use IBM SPSS and Eviews. The contents of the book are as followsPart I: Correlation1. Definition2. Uses of Correlation3. Linearity Concepts4. Assumption5. Characteristics6. Coefficient of Correlation7. Significance / Probability8. Interpretation9. Hypothesis Testing 10. The basic Differences between Correlation and Causation11. Advantages and Disadvantages Using Correlation 12. Applications: Spearman Rank Correlation, Pearson Product Moment Correlation and Partial Correlation13. ExercisesPart II: Regression1. Definition2. Goals of Using Regression3. Underlying Assumptions4. Requirements of Using Regression5. Linearity Concepts in Regression6. Hypothesis Testing 7. Good Model Characteristics8. Advantages and Disadvantages Using Regression9. Main Parameters in Regression: R square, Adjusted R square, F, t, Constant (a), Unstandardised Coefficient (b) and Significance (p-value) 10. Application: Simple Linear Regression, Multiple Linear Regression and Robust Regression 11. ExercisesPart III: Correlation versus Regression1. When to Use Correlation2. When to Use Regression3. Similarities, Differences and Relationship Between Correlation and Regression4. Understanding the formulas: How to Calculate Simple Linear Regression Manually5. Exercises
Interview Questions In Business Analytics
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Author : Bhasker Gupta
language : en
Publisher: Apress
Release Date : 2016-08-05
Interview Questions In Business Analytics written by Bhasker Gupta and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-05 with Computers categories.
Discover relevant questions—and detailed answers—to help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want fills a gap in information on business analytics for job seekers. Bhasker Gupta, the founder and editor of Analytics India Magazine, has come up with more than 300 questions job applicants are likely to face in an interview. Covering data preparation, statistics, analytics implementation, as well as other crucial topics favored by interviewers, this book: Provides 300+ interview questions often asked by recruiters and hiring managers in global corporations Offers short and to-the-point answers to the depth required, while looking at the problem from all angles Provides a full range of interview questions for jobs ranging from junior analytics to senior data scientists and managers Offers analytics professionals a quick reference on topics in analytics Using a question-and-answer format from start to finish, Interview Questions in Business Analytics: How to Ace Interviews and Get the Job You Want will help you grasp concepts sooner and with deep clarity. The book therefore also serves as a primer on analytics and covers issues relating to business implementation. You will learn about not just the how and what of analytics, but also the why and when. This book will thus ensure that you are well prepared for interviews—putting your dream job well within reach. Business analytics is currently one of the hottest and trendiest areas for technical professionals. With the rise of the profession, there is significant job growth. Even so, it’s not easy to get a job in the field, because you need knowledge of subjects such as statistics, databases, and IT services. Candidates must also possess keen business acumen. What's more, employers cast a cold critical eye on all applicants, making the task of getting a job even more difficult. What You'll Learn The 300 questions in this book cover such topics as: • The different types of data used in analytics • How analytics are put to use in different industries • The process of hypothesis testing • Predictive vs. descriptive analytics • Correlation, regression, segmentation and advanced statistics • Predictive modeling Who This Book Is For Those aspiring to jobs in business analytics, including recent graduates and technical professionals looking for a new or better job. Job interviewers will also find the book helpful in preparing interview questions.
Statistics From A To Z
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Author : Andrew A. Jawlik
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-24
Statistics From A To Z written by Andrew A. Jawlik and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-24 with Mathematics categories.
Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: • Easy to Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.
Discovering Statistics Using Spss For Windows
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Author : Andy P. Field
language : en
Publisher: SAGE
Release Date : 2000
Discovering Statistics Using Spss For Windows written by Andy P. Field and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Social Science categories.
Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.
Interpreting Quantitative Data With Spss
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Author : Rachad Antonius
language : en
Publisher: SAGE
Release Date : 2003-01-22
Interpreting Quantitative Data With Spss written by Rachad Antonius and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-22 with Social Science categories.
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Communication Research Statistics
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Author : John C. Reinard
language : en
Publisher: SAGE Publications
Release Date : 2006-04-20
Communication Research Statistics written by John C. Reinard and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-20 with Language Arts & Disciplines categories.
"While most books on statistics seem to be written as though targeting other statistics professors, John Reinard′s Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS. I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation. Well done!" --John C. Pollock, The College of New Jersey Written in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research undertaken in communication studies. This introductory textbook is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel XP. Key Features: Emphasizes basic and introductory statistical thinking: The basic needs of novice researchers and students are addressed, while underscoring the foundational elements of statistical analyses in research. Students learn how statistics are used to provide evidence for research arguments and how to evaluate such evidence for themselves. Prepares students to use statistics: Students are encouraged to use statistics as they encounter and evaluate quantitative research. The book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders. Incorporates SPSS 12 and Excel: A distinguishing feature is the inclusion of coverage of data analysis by use of SPSS 12 and by Excel. Information on the use of major computer software is designed to let students use such tools immediately. Companion Web Site! A dedicated Web site includes a glossary, data sets, chapter summaries, additional readings, links to other useful sites, selected "calculators" for computation of related statistics, additional macros for selected statistics using Excel and SPSS, and extra chapters on multiple discriminant analysis and loglinear analysis. Intended Audience: Ideal for undergraduate and graduate courses in Communication Research Statistics or Methods; also relevant for many Research Methods courses across the social sciences