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Applied Methods of Statistical Data Analysis
[
129
/
36%
]
E. R. Goryainova, A. R. Pankov, E. N. Platonov
On this page
▸
I · Statistical Estimation of Parameters
▸
II · Testing of Statistical Hypotheses
▸
III · Methods for Reconstructing Dependencies
▸
IV · Time Series Analysis
Part I
Statistical Estimation of Parameters
[
51
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69%
]
Chapter 1
The Sample and Its Basic Characteristics
[
7
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71%
]
Chapter 2
Point Estimates and Their Properties
[
8
/
0%
]
Chapter 3
Methods for Constructing Point Estimates of Parameters
[
11
/
73%
]
Chapter 4
Efficiency of Point Estimates
[
9
/
89%
]
Chapter 5
Interval Estimates of Parameters
[
9
/
78%
]
Chapter 6
Testing Parametric Hypotheses
[
7
/
100%
]
Part II
Testing of Statistical Hypotheses
[
30
/
27%
]
Chapter 7
Testing the Homogeneity Hypothesis of a Two-Sample Model
[
10
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0%
]
Chapter 8
One-Way Analysis of Variance
[
8
/
13%
]
Chapter 9
Testing the Hypothesis of Independence of Random Variables
[
12
/
58%
]
Part III
Methods for Reconstructing Dependencies
[
43
/
5%
]
Chapter 10
The Linear Multiple Regression Model
[
9
/
22%
]
Chapter 11
The Generalized Linear Regression Model
[
9
/
0%
]
Chapter 12
Heteroscedasticity
[
5
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0%
]
Chapter 13
Estimation in Multicollinear Models
[
7
/
0%
]
Chapter 14
Robust Methods of Regression Analysis
[
5
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0%
]
Chapter 15
Nonlinear Regression Models
[
4
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0%
]
Chapter 16
Quantile Regression
[
4
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0%
]
Part IV
Time Series Analysis
[
5
/
20%
]
Chapter 19
Stationary Time Series
[
5
/
20%
]