Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] :Chapman and Hall/CRC,
    UID:
    almahu_9949385866602882
    Format: 1 online resource (xii, 500 pages)
    Edition: First edition.
    ISBN: 9781003004899 , 100300489X , 9781000504163 , 1000504166 , 9781000504514 , 1000504514
    Series Statement: Texts in statistical science
    Content: 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.
    Note: 1. Data in R. 2. Probability. 3. Discrete Random Variables. 4. Continuous Random Variables. 5. Simulation of Random Variables. 6. Data Manipulation. 7. Data Visualization with ggplot. 8. Inference on the Mean. 9. Rank Based Tests. 10. Tabular Data. 11. Simple Linear Regression. 11. Analysis of Variance and Comparison of Multiple Groups. 13. Multiple Regression.
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages