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  • A Modern Introduction to Probability and Statistics
    Probability and statistics are fascinating subjects on the interface between mathematics and applied sciences that help us understand and solve practical problems. We believe that…
  • Introduction to Statistics and Data Analysis for Physicists
    Data analysis in modern experiments is unthinkable without simulation techniques. We discuss in some detail how to apply Monte Carlo simulation to parameter estimation, deconvoluti…
  • Introductory Statistics
    Introductory Statistics
  • Probability and Mathematical Statistics
    This book is both a tutorial and a textbook. This book presents an introduction to probability and mathematical statistics and it is intended for students already having some eleme…
  • Essential Statistics for Non-STEM Data Analysts Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
    Data science has been trending for several years, and demand in the market is now really on the increase as companies, governments, and non-profit organizations have shifted toward…
  • Introduction to Mathematical Statistics
    We have made substantial changes in this edition of Introduction to Mathematical Statistics. Some of these changes help students appreciate the connection between statistical theor…
  • Quantifying the User Experience
    The last thing many designers and researchers in the field of user experience think of is statistics. In act, we know many practitioners who find the field appealing because it lar…
  • STATISTICAL MODELING AND ANALYSIS FOR DATABASE MARKETING
    The personal computer (PC) has changed everything ”” both for better and for worse ”” in the world of statistics. It can effortlessly produce precise calculations, eliminating the…
  • Curriculum Guidelines for Undergraduate Programs in Data Science
    The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
  • Introduction to Machine Learning with Python
    Machine learning is about extracting knowledge from data. It is a research field at the intersection of statistics, artificial intelligence, and computer science and is also known…
  • Different Approaches for Extracting Information from the Co-Occurrence Matrix
    In 1979 Haralick famously introduced a method for analyzing the texture of an image: a set of statistics extracted from the co-occurrence matrix. In this paper we investigate novel…
  • Data Analysis with Microsoft® Excel
    Data Analysis with Microsoft® Excel: Updated for Office 2007® harnesses the power of Excel and transforms it into a tool for learning basic statistical analysis. Students learn sta…
  • Data Analysis with Microsoft Excel
    Data Analysis with Microsoft ® Excel: Updated for Office 2007 ® harnesses the power of Excel and transforms it into a tool for learning basic statistical analysis. Students learn s…
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