Analysis of Straight-line Data

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Publisher :
ISBN 13 :
Total Pages : 312 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Analysis of Straight-line Data by : Forman S. Acton

Download or read book Analysis of Straight-line Data written by Forman S. Acton and published by . This book was released on 1966 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fitting Models to Biological Data Using Linear and Nonlinear Regression

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Publisher : Oxford University Press
ISBN 13 : 9780198038344
Total Pages : 352 pages
Book Rating : 4.0/5 (383 download)

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Book Synopsis Fitting Models to Biological Data Using Linear and Nonlinear Regression by : Harvey Motulsky

Download or read book Fitting Models to Biological Data Using Linear and Nonlinear Regression written by Harvey Motulsky and published by Oxford University Press. This book was released on 2004-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introductory Business Statistics 2e

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ISBN 13 :
Total Pages : 1801 pages
Book Rating : 4./5 ( download)

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Book Synopsis Introductory Business Statistics 2e by : Alexander Holmes

Download or read book Introductory Business Statistics 2e written by Alexander Holmes and published by . This book was released on 2023-12-13 with total page 1801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Analyzing Quantitative Data

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Publisher : SAGE
ISBN 13 : 9780761967583
Total Pages : 376 pages
Book Rating : 4.9/5 (675 download)

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Book Synopsis Analyzing Quantitative Data by : Norman Blaikie

Download or read book Analyzing Quantitative Data written by Norman Blaikie and published by SAGE. This book was released on 2003-03-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.

Linear Models in Statistics

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Publisher : John Wiley & Sons
ISBN 13 : 0470192607
Total Pages : 690 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Linear Models in Statistics by : Alvin C. Rencher

Download or read book Linear Models in Statistics written by Alvin C. Rencher and published by John Wiley & Sons. This book was released on 2008-01-07 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.

Scientific Data Analysis

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Publisher : Oxford University Press (UK)
ISBN 13 : 0198712545
Total Pages : 353 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Scientific Data Analysis by : Graham Currell

Download or read book Scientific Data Analysis written by Graham Currell and published by Oxford University Press (UK). This book was released on 2015 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the author's extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.

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Author :
Publisher : Arihant Publications India limited
ISBN 13 : 9326193489
Total Pages : 733 pages
Book Rating : 4.3/5 (261 download)

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Book Synopsis by :

Download or read book written by and published by Arihant Publications India limited. This book was released on with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Environmental Statistics and Data Analysis

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Publisher : CRC Press
ISBN 13 : 9780873718486
Total Pages : 336 pages
Book Rating : 4.7/5 (184 download)

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Book Synopsis Environmental Statistics and Data Analysis by : Wayne R. Ott

Download or read book Environmental Statistics and Data Analysis written by Wayne R. Ott and published by CRC Press. This book was released on 1994-12-20 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting important details and assumptions. Topics include Bayes' Theorem, geometric distribution, computer simulation, histograms and frequency plots, maximum likelihood estimation, the tail exponential method, Bernoulli processes, Poisson processes, diffusion and dispersion of pollutants, normal distribution, confidence intervals, and stochastic dilution; gamma, chi-square, and Weibull distributions; and the two- and three-parameter lognormal distributions. The author also presents the Statistical Theory of Rollback, which allows data analysts and regulatory officials to estimate the effect of different emission control strategies on environmental quality frequency distributions. Assuming only a basic knowledge of algebra and calculus, Environmental Statistics and Data Analysis provides an outstanding reference and collection of statistical procedures for analyzing environmental data and making accurate environmental predictions.

Making Sense of Data II

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Publisher : John Wiley & Sons
ISBN 13 : 0470222808
Total Pages : 325 pages
Book Rating : 4.4/5 (72 download)

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Book Synopsis Making Sense of Data II by : Glenn J. Myatt

Download or read book Making Sense of Data II written by Glenn J. Myatt and published by John Wiley & Sons. This book was released on 2009-02-03 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences. Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis: Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces. Clustering outlines common approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed. Predictive Analytics presents a discussion on how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple linear regression, discriminate analysis, logistic regression, and Naïve Bayes. Applications demonstrates the current uses of data mining across a wide range of industries and features case studies that illustrate the related applications in real-world scenarios. Each method is discussed within the context of a data mining process including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site for the series (www.makingsenseofdata.com) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online. With its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.

Data Analysis for Physical Scientists

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Publisher : Cambridge University Press
ISBN 13 : 0521883725
Total Pages : 527 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Data Analysis for Physical Scientists by : Les Kirkup

Download or read book Data Analysis for Physical Scientists written by Les Kirkup and published by Cambridge University Press. This book was released on 2012-02-16 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.

Analysis of Kinetic Data

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Publisher : Springer Science & Business Media
ISBN 13 : 1468476858
Total Pages : 133 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Analysis of Kinetic Data by : E. S. Swinbourne

Download or read book Analysis of Kinetic Data written by E. S. Swinbourne and published by Springer Science & Business Media. This book was released on 2013-04-09 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis is important from two points of view: first, it enables a large mass of information to be reduced to a reasonable compass, and second, it assists in the interpretation of experimental results against some framework of theory. The purpose of this text is to provide a practical introduction to numerical methods of data analysis which have applica tion in the field of experimental chemical kinetics. Recognizing that kinetic data have many features in common with data derived from other sources, I have considered it appropriate to discuss a selection of general methods of data analysis in the early chapters of the text. It is the author's experience that an outline of these methods is not always easy to locate in summary form, and that their usefulness is often not sufficiently appreciated. Inclusion of these methods in the early chapters has been aimed at simplifying discussion in the later chapters which are more particularly concerned with kinetic systems. By the provision of a number of worked examples and problems, it is hoped that the reader will develop a feeling for the range of methods available and for their relative merits. Throughout the text, the mathematical treatment has been kept relatively simple, lengthy proofs being avoided. I have preferred to indicate the 'sense' and usefulness of the various methods rather than to justify them on strict mathematical grounds.

Experimental Methods for Science and Engineering Students

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Publisher : Cambridge University Press
ISBN 13 : 1108418465
Total Pages : 239 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Experimental Methods for Science and Engineering Students by : Les Kirkup

Download or read book Experimental Methods for Science and Engineering Students written by Les Kirkup and published by Cambridge University Press. This book was released on 2019-09-05 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of experimental methods providing practical advice to students seeking guidance with their experimental work.

ACCT3 Management

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Publisher : Cengage AU
ISBN 13 : 0170416860
Total Pages : 320 pages
Book Rating : 4.1/5 (74 download)

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Book Synopsis ACCT3 Management by : Prabhu Sivabalan

Download or read book ACCT3 Management written by Prabhu Sivabalan and published by Cengage AU. This book was released on 2018-09-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: ACCT3 Management is the Asia-Pacific edition of the proven 4LTR press approach to management accounting, designed to enhance students’ learning experiences. The text is for teaching students learning the preparers/debits and credits approach and is presented in an easy-to-read and accessible style. This third edition includes a strong suite of student and instructor resources that enhance student learning and revision. New, print versions of this book come with bonus online study tools on the CourseMate Express platform Learn more about the online tools cengage.com.au/learning-solutions

Statistical Methods for Survival Data Analysis

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Publisher : John Wiley & Sons
ISBN 13 : 1118593057
Total Pages : 389 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Statistical Methods for Survival Data Analysis by : Elisa T. Lee

Download or read book Statistical Methods for Survival Data Analysis written by Elisa T. Lee and published by John Wiley & Sons. This book was released on 2013-09-23 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.

Armed Services Pricing Manual (ASPM).: Price analysis

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Publisher :
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.:/5 (3 download)

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Book Synopsis Armed Services Pricing Manual (ASPM).: Price analysis by :

Download or read book Armed Services Pricing Manual (ASPM).: Price analysis written by and published by . This book was released on 1986 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Oceanographic Analysis with R

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Publisher : Springer
ISBN 13 : 1493988441
Total Pages : 303 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Oceanographic Analysis with R by : Dan E. Kelley

Download or read book Oceanographic Analysis with R written by Dan E. Kelley and published by Springer. This book was released on 2018-10-17 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the ‘oce’ package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.

Practical Statistics for Astronomers

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Publisher : Cambridge University Press
ISBN 13 : 0521732492
Total Pages : 375 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Practical Statistics for Astronomers by : J. V. Wall

Download or read book Practical Statistics for Astronomers written by J. V. Wall and published by Cambridge University Press. This book was released on 2012-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together relevant statistical and probabilistic techniques, a practical manual for advanced undergraduate and graduate students and professional astronomers.