Pencarian Koleksi Digital
Hasil Pencarian Ditemukan 13 koleksi (Hal. 1/1)
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A Modern Introduction to Probability and StatisticsProbability and statistics are fascinating subjects on the interface between mathematics and applied sciences that help us understand and solve practical problems. We believe that…
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Introduction to Statistics and Data Analysis for PhysicistsData analysis in modern experiments is unthinkable without simulation techniques. We discuss in some detail how to apply Monte Carlo simulation to parameter estimation, deconvoluti…
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Introductory StatisticsIntroductory Statistics
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Probability and Mathematical StatisticsThis 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…
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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 PythonData 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…
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Introduction to Mathematical StatisticsWe have made substantial changes in this edition of Introduction to Mathematical Statistics. Some of these changes help students appreciate the connection between statistical theor…
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Quantifying the User ExperienceThe 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…
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STATISTICAL MODELING AND ANALYSIS FOR DATABASE MARKETINGThe 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…
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Curriculum Guidelines for Undergraduate Programs in Data ScienceThe Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
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Introduction to Machine Learning with PythonMachine 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…
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Different Approaches for Extracting Information from the Co-Occurrence MatrixIn 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…
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Data Analysis with Microsoft® ExcelData 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…
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Data Analysis with Microsoft ExcelData 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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