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Applied Statistics - Principles and Examples
Applied Statistics - Principles and Examples
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€192.20
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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 9780412165702
- Weight: 370g
- Dimensions: 156 x 234mm
- Publication Date: 30 Sep 1981
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
This book outlines some of the general ideas involved in applying statistical methods. It discusses some special problems, to illustrate both the general principles and important specific techniques of analysis. The book is intended for students interested in statistical methods.
Applied Statistics - Principles and Examples
€192.20
