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

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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R for Political Data Science

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and;

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Quantitative Economics with R

This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R;

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Introduction to Data Science

Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization;

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Machine Learning with R, tidyverse, and mlr

program teaching basic R skills at the university. A data science and machine learning enthusiast, he has his own Youtube channel featuring;

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Using R for Data Analysis in Social Sciences

of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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Statistical Computing with R, Second Edition

statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these;

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Quantitative Social Science

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Machine Learning for Knowledge Discovery with R

thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world;

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Statistical Foundations, Reasoning and Inference

and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;

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Basic Statistics with R

, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do;

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Statistical Inference for Engineers and Data Scientists

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems;

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Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data;

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Computer Age Statistical Inference, Student Edition

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and;

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Statistical Modelling and Analysis Techniques

Ronald A. Fisher containing details on his life and contribution to statistical research is also included to motivate young researchers. The;

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Statistical Computing with R

computing environment, the book reviews some basic concepts in probability and classical statistical inference. Each subsequent chapter explores a;

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A Handbook of Statistical Analyses Using R

, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

, complex, and dynamic data. It presents a scientific roadmap to translate real-world data science applications into formal statistical estimation;

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Statistical Application Development with R and Python -

in the real world. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART;

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Statistical Inference in Science

information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly;

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Statistical Inference in Science

information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly;

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Maximum Likelihood for Social Science

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist;

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Maximum Likelihood for Social Science

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist;

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Statistical Modeling and Inference for Social Science

Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior;

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