It takes the average reader 9 hours and 26 minutes to read Generalized Linear Models With Examples in R by Peter K. Dunn
Assuming a reading speed of 250 words per minute. Learn more
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities. The book is designed with the student in...
Generalized Linear Models With Examples in R by Peter K. Dunn is 562 pages long, and a total of 141,624 words.
This makes it 190% the length of the average book. It also has 173% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 12 hours and 53 minutes to read Generalized Linear Models With Examples in R aloud.
Generalized Linear Models With Examples in R is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Generalized Linear Models With Examples in R by Peter K. Dunn is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Generalized Linear Models With Examples in R by Peter K. Dunn on Amazon click the button below.
Buy Generalized Linear Models With Examples in R on Amazon