Exploring data : an introduction to data analysis for social scientists

Statistics for Data Scientists: An Intro

📁 Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis

✍ Maurits Kaptein, Edwin van den Heuvel 📂 Library 📅 2020 🏛 Springer 🌐 English

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treat

Scientific Data Analysis: An Introductio

📁 Scientific Data Analysis: An Introduction to Overdetermined Systems

✍ Richard L. Branham Jr. (auth.) 📂 Library 📅 1990 🏛 Springer-Verlag New York 🌐 English

This monograph is concerned with overdetermined systems, inconsistent systems with more equations than unknowns, in scientific data reduction. It is not a text on statistics, numerical methods, or matrix cOmputations, although elements of all three, especially the latter, enter into the discussio

Data Analysis: A Gentle Introduction for

📁 Data Analysis: A Gentle Introduction for Future Data Scientists

✍ Graham Upton, Dan Brawn 📂 Library 📅 2023 🏛 Oxford University Press 🌐 English

Social Science Data Analysis: An Introdu

📁 Social Science Data Analysis: An Introduction

✍ Florian G. Hartmann, Johannes Kopp, Daniel Lois 📂 Library 📅 2023 🏛 Springer 🌐 English

In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses. The third edition is extended by a deta

Social Science Data Analysis: An Introdu

📁 Social Science Data Analysis: An Introduction

✍ Florian G. Hartmann, Johannes Kopp, Daniel Lois 📂 Library 📅 2023 🏛 Springer 🌐 English

In this book, basic statistical knowledge is conveyed in an understandable and application-oriented manner. The readers should be enabled to carry out their own empirical evaluations and to understand or critically reflect on existing analyses. The third edition is extended by a deta

Introduction to Data Analysis with R for

📁 Introduction to Data Analysis with R for Forensic Scientists

✍ James Michael Curran 📂 Library 📅 2010 🏛 CRC Press 🌐 English

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic S

Exploring data : an introduction to data analysis for social scientists

✦ Synopsis