Generalized linear models Study guides, Class notes & Summaries
Looking for the best study guides, study notes and summaries about Generalized linear models? On this page you'll find 89 study documents about Generalized linear models.
Popular textbooks 'Generalized linear models'
Non-Life Insurance Pricing with Generalized Linear Models
Esbjörn Ohlsson, Björn Johansson
1 documents
An Introduction to Generalized Linear Models, Third Edition
Annette J. Dobson, Adrian Barnett
1 documents
All 89 results
Sort by
-
Solutions Manual for Beyond Multiple Linear Regression Applied Generalized Linear Models And Multilevel Models in R 1st Edition by Paul Roback, Julie Legler
- Exam (elaborations) • 250 pages • 2023
-
- $25.99
- 11x sold
- + learn more
Solutions Manual for Beyond Multiple Linear Regression Applied Generalized Linear Models And Multilevel Models in R 1st Edition by Paul Roback, Julie Legler 
 
Solutions Manual for Beyond Multiple Linear Regression Applied Generalized Linear Models And Multilevel Models in R 1e by Paul Roback, Julie Legler
-
SOLUTIONS MANUAL for Statistical Methods 4th Edition by Mohr Donna, Wilson William & JFreund Rudolf. ISBN 9780323899888, ISBN-13 978-0128230435. (All 14 Chapters)
- Exam (elaborations) • 219 pages • 2023
-
- $34.52
- 1x sold
- + learn more
SOLUTIONS MANUAL for Statistical Methods 4th Edition by Mohr Donna, Wilson William & JFreund Rudolf. ISBN 9888, ISBN-13 978-5. TABLE OF CONTENTS: 1. Data and statistics 2. Pr obability and sampling distributions 3. Principles of inference 4. Inferences on a single population 5. Inferences for two populations 6. Inferences for two or more means 7. Linear regression 8. Multiple regression 9. Linear models 10. Factorial experiments 11. Design of experiments 12. Categorical data 13. Generalized line...
-
Solutions for A First Course in Linear Model Theory, 2nd Edition Ravishanker (All Chapters included)
- Exam (elaborations) • 82 pages • 2024
-
- $29.49
- + learn more
Complete Solutions Manual for A First Course in Linear Model Theory, 2nd Edition by Nalini Ravishanker, Zhiyi Chi, Dipak K. Dey ; ISBN13: 9781439858059. (Full Chapters included Chapter 1 to 13)....1. A Review of Vector and Matrix Algebra. 2. Properties of Special Matrices. 3. Generalized Inverses and Solutions to Linear Systems. 4. The General Linear Model. 5. Multivariate Normal and Related Distributions. 6. Sampling from the Multivariate Normal Distribution. 7. Inference for the General Linear...
-
Summary for Modern Methods in Data Analysis
- Summary • 52 pages • 2023
-
- $9.18
- + learn more
An overview/summary of the course 'Modern Methods in Data Analysis' (part of Epidemiology at Utrecht University/UMC Utrecht). 
Linear Models, Likelihood and Logistic Regression are explained. Also Poisson models and generalized linear models, Survival Analysis, Resampling methods, Longitudinal Data Analysis are explained.
-
ISYE 6414 Final Exam Questions and Answers Already Graded A
- Exam (elaborations) • 6 pages • 2023
-
Available in package deal
-
- $9.99
- + learn more
ISYE 6414 Final Exam Questions and Answers Already Graded A 
1. If there are variables that need to be used to control the bias selection in the model, they should forced to be in the model and not being part of the variable selection process. True 
2. Penalization in linear regression models means penalizing for complex models, that is, models with a large number of predictors. True 
3. Elastic net regression uses both penalties of the ridge and lasso regression and hence combines the benefits ...
Get paid weekly? You can!
-
AIDA 181 Study Guide 2023 with complete solution big data - sets of data that are to large to be gathered and alayszed by traditional methods 5 Vs of big data - volume variety velocity veracity value volume - far larger (consumes more storag
- Exam (elaborations) • 12 pages • 2023
-
- $10.49
- + learn more
AIDA 181 Study Guide 2023 with complete solution 
 
 
big data - sets of data that are to large to be gathered and alayszed by traditional methods 
 
5 Vs of big data - volume 
 
variety 
 
velocity 
 
veracity 
 
value 
 
volume - far larger (consumes more storage space) than traditional data stores 
 
variety - much of the data exists in multiple unstructured (this is defined later) formats 
 
velocity - speed at which the data arrives and the rate of evolution 
 
veracity - the co...
-
Math for Machine Learning study guide 2024
- Exam (elaborations) • 3 pages • 2024
-
- $16.49
- + learn more
The goal of machine learning is to: 
 
design general purpose 
methodologies to extract valuable patterns from data, ideally without much domain-specific expertise 
 
 
The goal of learning is to: 
 
find a model and its corresponding parameters such that the resulting predictor will perform well on unseen data 
 
 
 
Brainpower 
Read More 
Previous 
Play 
Next 
Rewind 10 seconds 
Move forward 10 seconds 
Unmute 
0:10 
/ 
0:15 
Full screen 
Learning can be understood as: 
 
a way to automaticall...
-
ISYE 6414 Final Exam (2023) with Complete Solutions Graded A
- Exam (elaborations) • 7 pages • 2023
-
Available in package deal
-
- $11.49
- + learn more
True - The relationship that links the predictors is highly non-linear. - In Logistic Regression, the relationship between the probability of success and the predicting variables is non-linear. 
 
False - In logistic regression, there are no error terms. - In Logistic Regression, the error terms follow a normal distribution. 
 
True - the logit function is also known as the log-odds function, which is the ln(P/1-p). - The logit function is the log of the ratio of the probability of success to th...
-
ISYE 6501 - Midterm 1 2024 with complete verified solutions.
- Exam (elaborations) • 25 pages • 2024
-
- $14.99
- + learn more
What do descriptive questions ask? 
What happened? (e.g., which customers are most alike) 
 
 
What do predictive questions ask? 
What will happen? (e.g., what will Google's stock price be?) 
 
 
 
Brainpower 
Read More 
0:05 
/ 
0:15 
What do prescriptive questions ask? 
What action(s) would be best? (e.g., where to put traffic lights) 
 
 
What is a model? 
Real-life situation expressed as math. 
 
 
What do classifiers help you do? 
differentiate 
 
 
What is a soft classifier and when is it...
-
Applied Multivariate Analysis
- Exam (elaborations) • 718 pages • 2024
-
Available in package deal
-
- $27.99
- + learn more
Contents 
2.4 BasicMatrixOperations . . . . . . . . . . . . . . . . . . . . . . . . . . 25 
a. Equality, Addition, and Multiplication of Matrices . . . . . . . . . . . 26 
b. Matrix Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . 28 
c. Some Special Matrices . . . . . . . . . . . . . . . . . . . . . . . . . 29 
d. Trace and the Euclidean Matrix Norm . . . . . . . . . . . . . . . . . 30 
e. Kronecker and Hadamard Products . . . . . . . . . . . . . . . . . . . 32 
f. DirectSums ....
That summary you just bought made someone very happy. Also get paid weekly? Sell your study resources on Stuvia! Discover all about earning on Stuvia