Analysis of Straight-Line Data

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Publisher :
ISBN 13 : 9780844615035
Total Pages : pages
Book Rating : 4.6/5 (15 download)

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Book Synopsis Analysis of Straight-Line Data by : F. S. Acton

Download or read book Analysis of Straight-Line Data written by F. S. Acton and published by . This book was released on 1984-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

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:

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.

Scientific Data Analysis

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Publisher : Oxford University Press, USA
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, USA. 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.

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.

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.

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.

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.

Public Roads

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Publisher :
ISBN 13 :
Total Pages : 246 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Public Roads by :

Download or read book Public Roads written by and published by . This book was released on 1970 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

The Statistical Analysis of Experimental Data

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Publisher : Courier Corporation
ISBN 13 : 048613959X
Total Pages : 432 pages
Book Rating : 4.4/5 (861 download)

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Book Synopsis The Statistical Analysis of Experimental Data by : John Mandel

Download or read book The Statistical Analysis of Experimental Data written by John Mandel and published by Courier Corporation. This book was released on 2012-06-08 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.

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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:

Heavy Vehicle Event Data Recorder Interpretation

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Publisher : SAE International
ISBN 13 : 0768095336
Total Pages : 260 pages
Book Rating : 4.7/5 (68 download)

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Book Synopsis Heavy Vehicle Event Data Recorder Interpretation by : Christopher D Armstrong

Download or read book Heavy Vehicle Event Data Recorder Interpretation written by Christopher D Armstrong and published by SAE International. This book was released on 2018-11-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last ten years have seen explosive growth in the technology available to the collision analyst, changing the way reconstruction is practiced in fundamental ways. The greatest technological advances for the crash reconstruction community have come in the realms of photogrammetry and digital media analysis. The widespread use of scanning technology has facilitated the implementation of powerful new tools to digitize forensic data, create 3D models and visualize and analyze crash vehicles and environments. The introduction of unmanned aerial systems and standardization of crash data recorders to the crash reconstruction community have enhanced the ability of a crash analyst to visualize and model the components of a crash reconstruction. Because of the technological changes occurring in the industry, many SAE papers have been written to address the validation and use of new tools for collision reconstruction. Collision Reconstruction Methodologies Volumes 1-12 bring together seminal SAE technical papers surrounding advancements in the crash reconstruction field. Topics featured in the series include: • Night Vision Study and Photogrammetry • Vehicle Event Data Recorders • Motorcycle, Heavy Vehicle, Bicycle and Pedestrian Accident Reconstruction The goal is to provide the latest technologies and methodologies being introduced into collision reconstruction - appealing to crash analysts, consultants and safety engineers alike.

SAT 2017 Strategies, Practice & Review with 3 Practice Tests

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Publisher : Simon and Schuster
ISBN 13 : 1506210333
Total Pages : 697 pages
Book Rating : 4.5/5 (62 download)

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Book Synopsis SAT 2017 Strategies, Practice & Review with 3 Practice Tests by : Kaplan Test Prep

Download or read book SAT 2017 Strategies, Practice & Review with 3 Practice Tests written by Kaplan Test Prep and published by Simon and Schuster. This book was released on 2016-06-21 with total page 697 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now that the College Board's new SAT is in effect, you can face the redesigned test with confidence using SAT 2017 Strategies, Practice & Review. This essential guide provides brand new practice tests, clear explanations of test changes, detailed concept review, and much more. SAT 2017 Strategies, Practice & Review is the ideal prep tool for students looking to ace the redesigned test! SAT 2017 Strategies, Practice & Review includes: * 3 realistic practice tests for the new SAT: 1 in the book, 2 online * In-depth review of the new Evidence-Based Reading and Writing section and the new Optional Essay * In-depth review of all Math topics tested in the new SAT, including analysis of data, charts, and graphs * Scoring, analysis, and explanations for 1 official SAT Practice Test * Explanations of the new SAT scoring systems, including Area Scores, Test Scores, Cross-Test Scores, and Subscores * Hundreds of practice questions with clear, detailed answers The SAT guide you want to prep with to score higher—we guarantee a higher score!

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

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Publisher : CRC Press
ISBN 13 : 1000763463
Total Pages : 461 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Statistical Inference via Data Science: A ModernDive into R and the Tidyverse by : Chester Ismay

Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.

R for Data Science

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results