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Applied Statistics - Principles and Examples
Applied Statistics - Principles and Examples
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€248.00
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A01=D.R. Cox
A01=E. J. Snell
Author_D.R. Cox
Author_E. J. Snell
Binomial Distribution
biomedical statistics
Category=PBT
Cent Confidence Limits
D.R. Cox
data interpretation
E.J. Snell
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
experimental design
explanatory
Explanatory Variables
Exponential Distribution
Exponential Order Statistics
factorial experiments
Follow
Holding
hypothesis
Independent
Large Sample Variance
linear
Linear Logistic Model
logistic
Main
Main Effects Model
Maximized Log Likelihood
Maximum Likelihood
model
Normal Theory Linear Models
Null
Poisson Process
quantitative analysis
Quantitative Explanatory Variables
random
Random Variation
real world statistical applications
Residual Standard Deviation
response
Response Variable
Slightly
Smooth
social science data
Stronger
Superimposing
variable
variation
Product details
- ISBN 9781138469549
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 10 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
This book should be of interest to senior undergraduate and postgraduate students of applied statistics.
Applied Statistics - Principles and Examples
€248.00
