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“mia stephens”

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  • Building Better Models with JMP Pro

    by Jim Grayson, Sam Gardner, Mia Stephens ...
    Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical ... Read more

    $32.99 USD

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  • Doing Data Science

    Straight Talk from the Frontline

    by Cathy O'Neil, Rachel Schutt ...
    Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter ... Read more

    $28.09 USD

  • Statistics Hacks

    Tips & Tools for Measuring the World and Beating the Odds

    by Bruce Frey ...
    Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks. These cool tips, tricks, and mind-boggling solutions from the world of statistics, measurement, and research methods will not only ... Read more

    $17.99 USD

  • Ecological Models and Data in R

    by Benjamin M. Bolker ...
    Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive ... Read more

    $57.59 USD

  • Hands-On Programming with R

    by Garrett Grolemund ...
    Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also ... Read more

    $23.09 USD

  • Excel 2010 for Physical Sciences Statistics

    A Guide to Solving Practical Problems

    by Thomas J Quirk, Meghan Quirk, Howard Horton ...
    Series series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is ... Read more

    $49.99 USD

  • Seamless R and C++ Integration with Rcpp

    by Dirk Eddelbuettel ...
    Series series Mathematics and Statistics (R0)
    Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management"Seamless R and C++ integration with Rcpp" is ... Read more

    $89.09 USD

  • Survival Analysis Using SAS

    A Practical Guide, Second Edition

    by Paul D. Allison ...
    Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9 ... Read more

    $47.99 USD

  • Applied Data Mining for Forecasting Using SAS

    by Tim Rey, Arthur Kordon, Chip Wells ...
    Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, ... Read more

    $47.59 USD

  • Analyzing Linguistic Data

    A Practical Introduction to Statistics using R

    by R. H. Baayen ...
    Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading ... Read more

    $66.49 USD

  • Logistic Regression Using SAS

    Theory and Application, Second Edition

    by Paul D. Allison ...
    If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. ... Read more

    $43.99 USD

  • Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

    Statistics in the Large

    by Thomas W. MacFarland ...
    Series series Mathematics and Statistics (R0)
    Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The ... Read more

    $53.99 USD