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A01=Brian Everitt
advanced statistics reference for students
analysis of variance techniques
Author_Brian Everitt
Category=PBT
Central Limit Theorem
Condence Interval
Cox Regression
Data Set
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
ESTIMATE STANDARD ERROR
Estimation
GHQ Score
Inference
Kaplan Meier Estimated Survivor Function
Kaplan Meier Estimator
Linear Regression
logistic regression modeling
Missing Data Mechanism
Model AIC
Multiple Linear Regression
Multiple Linear Regression Model
Multivariate Data
Multivariate Data Matrix
multivariate statistical techniques
Probability
probability theory concepts
Random Intercept
Random Intercept Model
Rc N
Regression Coefcients
Regression Model
Rejection Region
Sampling Distribution
Simple Linear Regression
Single Explanatory Variable
statistical inference methods
Statistical Models
survival data analysis
Unbiased Sample Variance
Product details
- ISBN 9781138460294
- Weight: 550g
- Dimensions: 138 x 216mm
- Publication Date: 10 Oct 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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The book is intended as a quick source of reference and as an aide-memoir for students taking A-level, undergraduate or postgraduate statistics courses. It includes numerous examples, helping instructors on such courses by providing their students with small data sets with which to work.
Brian Everitt
