Fitting Linear Relationships
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Fitting Linear Relationships
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Author : R.W. Farebrother
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Fitting Linear Relationships written by R.W. Farebrother and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
This book describes the development of statistics, which for more than a century was called "the calculus of observations." The approach will help readers gain a clearer understanding of the historical development as well as the essential nature of some of the commonly used statistical estimation procedures. Detailed descriptions of the fitting of linear relationships by the method of least squares and the closely related least absolute deviations and minimax absolute deviations procedures are presented, along with some of the important work by Laplace, Gauss, and Adrain.
Least Squares Data Fitting With Applications
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Author : Per Christian Hansen
language : en
Publisher: JHU Press
Release Date : 2013-01-15
Least Squares Data Fitting With Applications written by Per Christian Hansen and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Mathematics categories.
A lucid explanation of the intricacies of both simple and complex least squares methods. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues. In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Víctor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems. Included are • an overview of computational methods together with their properties and advantages • topics from statistical regression analysis that help readers to understand and evaluate the computed solutions • many examples that illustrate the techniques and algorithms Least Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering.
Some Curve Fitting Fundamentals
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Author : R. L. Petruschell
language : en
Publisher:
Release Date : 1968
Some Curve Fitting Fundamentals written by R. L. Petruschell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Curve fitting categories.
"A description of the curve-fitting process for the cost analyst. The study is characterized by intuitive discussions with illustrations of computational procedures, and treats the more complex relationships of cost analysis by an approach that integrates analytic geometry with curve-fitting methods. In order to develop an equation to describe a particular relationship, the approach combines the properties of specific functional forms--the straight line, the exponential, the power function, and the parabola--with the values of equation constants. Examples of curves fit to two-variable and multi-variable relationships are shown. Both linear and nonlinear cases are included."--
Fitting Models To Biological Data Using Linear And Nonlinear Regression
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Author : Harvey Motulsky
language : en
Publisher: Oxford University Press
Release Date : 2004-05-27
Fitting Models To Biological Data Using Linear And Nonlinear Regression written by Harvey Motulsky and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-05-27 with Mathematics categories.
Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Job Demands And Worker Health
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Author : Robert D. Caplan
language : en
Publisher:
Release Date : 1975
Job Demands And Worker Health written by Robert D. Caplan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Industrial hygiene categories.
Occupational health report on physiologycal and psychological aspects of mental stress in 23 different occupations in the USA - examines factors such as job satisfaction, boredom, behavioural characteristics and correlations with different types of illness such as cardiovascular disease, gastro-intestinal problems, ulcer and respiratory infections. Bibliography pp. 332 to 342, diagrams, questionnaires and statistical tables.
Fitting Equations To Data
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Author : Cuthbert Daniel
language : en
Publisher: Wiley-Interscience
Release Date : 1999-08-30
Fitting Equations To Data written by Cuthbert Daniel and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-08-30 with Mathematics categories.
Helps any serious data analyst with a computer to recognize the strengths and limitations of data, to test the assumptions implicit in the least squares methods used to fit the data, to select appropriate forms of the variables, to judge which combinations of variables are most influential, and to state the conditions under which the fitted equations are applicable. This edition includes numerous extensions and new devices such as component and component-plus-residual plots, cross verification with a second sample, and an index of required x-precision; also, the search for better subset equations is enlarged to cover 262,144 alternatives. The methods described have been applied in agricultural, environmental, management, marketing, medical, physical, and social sciences. Mathematics is kept to the level of college algebra.
R Data Analysis Without Programming
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Author : David W. Gerbing
language : en
Publisher: Taylor & Francis
Release Date : 2023-01-30
R Data Analysis Without Programming written by David W. Gerbing and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-30 with Psychology categories.
The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed lessR, a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the need for programming. This edition expands upon the first edition’s introduction to R through lessR, which enables the readers to learn how to organize data for analysis, read the data into R, and generate output without performing numerous functions and programming exercises first. With lessR, readers can select the necessary procedure and change the relevant variables with simple function calls. The text reviews and explains basic statistical procedures with the lessR enhancements added to the standard R environment. Using lessR, data analysis with R becomes immediately accessible to the novice user and easier to use for the experienced user. Highlights along with content new to this edition include: Explanation and Interpretation of all data analysis techniques; much more than a computer manual, this book shows the reader how to explain and interpret the results. Introduces the concepts and commands reviewed in each chapter. Clear, relaxed writing style more effectively communicates the underlying concepts than more stilted academic writing. Extensive margin notes highlight, define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number for the initial introduction. Scenarios that highlight the use of a specific analysis followed by the corresponding R/lessR input, output, and an interpretation of the results. Numerous examples of output from psychology, business, education, and other social sciences, that demonstrate the analysis and how to interpret results. Two data sets are analyzed multiple times in the book, provide continuity throughout. Comprehensive: A wide range of data analysis techniques are presented throughout the book. Integration with machine learning as regression analysis is presented from both the traditional perspective and from the modern machine learning perspective. End of chapter problems help readers test their understanding of the concepts. A website at www.lessRstats.com that features the data sets referenced in both standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, R/lessR videos to help readers better understand the program, and more. This book is ideal for graduate and undergraduate courses in statistics beyond the introductory course, research methods, and/or any data analysis course, taught in departments of psychology, business, education, and other social and health sciences; this book is also appreciated by researchers doing data analysis. Prerequisites include basic statistical knowledge, though the concepts are explained from the beginning in the book. Previous knowledge of R is not assumed.
Elementary Statistics A Problem Solving Approach 4th Edition
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Author : Andrew L. Comrey
language : en
Publisher: Lulu.com
Release Date : 2006
Elementary Statistics A Problem Solving Approach 4th Edition written by Andrew L. Comrey and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
A textbook oriented toward behavioral and social science students interested in data analysis. This book shows the reader how to do statistical analyses. It also gives examples and situations where a certain statistical test would be used.
Beginning Statistics With Data Analysis
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Author : Frederick Mosteller
language : en
Publisher: Courier Corporation
Release Date : 2013-01-01
Beginning Statistics With Data Analysis written by Frederick Mosteller and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-01 with Mathematics categories.
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.
From Clinical Trials To Real World Data Sciences Evidence Based Medicine For Value In Health
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Author : Kevin Lu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-16
From Clinical Trials To Real World Data Sciences Evidence Based Medicine For Value In Health written by Kevin Lu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-16 with Science categories.