Probability Statistics and Data

This book PDF is perfect for those who love Business & Economics genre, written by Darrin Speegle and published by CRC Press which was released on 24 April 2024 with total hardcover pages 500. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Probability Statistics and Data books below.

Probability  Statistics  and Data
Author : Darrin Speegle
File Size : 52,5 Mb
Publisher : CRC Press
Language : English
Release Date : 24 April 2024
ISBN : 100300489X
Pages : 500 pages
Get Book

Probability Statistics and Data by Darrin Speegle Book PDF Summary

"This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested"--

Probability  Statistics  and Data

"This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable.

Get Book
Probability  Statistics  and Data

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable.

Get Book
Probability and Statistics for Data Science

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture

Get Book
Introduction to Probability  Statistics   R

Download or read online Introduction to Probability Statistics R written by Sujit K. Sahu, published by Springer Nature which was released on . Get Introduction to Probability Statistics R Books now! Available in PDF, ePub and Kindle.

Get Book
Statistics for Data Scientists

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 treatment of probability and statistical principles. Where contemporary undergraduate

Get Book
A Modern Introduction to Probability and Statistics

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books

Get Book
Soft Methods in Probability  Statistics and Data Analysis

Classical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough

Get Book
Probability  Statistical Optics  and Data Testing

Scientists and engineers in optics are increasingly confronted with problems that are of a random nature and that require a working knowledge of probability and statistics for their solution. This book develops these subjects within the context of optics, using a problem-solving approach. All methods are explicitly derived and can

Get Book