theorem 11.88 Wilks
open in the book ·
parts/02-mathematical-methods/09-probability-statistics.tex:2708
· p. 403
Rests on
- depends_on definition 11.80 Chi-squared ¶
-
depends_on
definition 11.87
Likelihood-ratio test statistic
¶
-
depends_on
definition 11.54
Likelihood
¶
- depends_on definition 11.53 Statistical model ¶
-
depends_on
definition 11.56
Maximum-likelihood estimator
¶
- depends_on definition 11.54 Likelihood ¶ ↺
-
depends_on
definition 11.70
Profile likelihood
¶
- depends_on definition 11.54 Likelihood ¶ ↺
- depends_on definition 11.56 Maximum-likelihood estimator ¶ ↺
-
depends_on
definition 11.54
Likelihood
¶
-
depends_on
definition 11.59
Regularity conditions
¶
-
depends_on
definition 11.60
Score and Fisher information
¶
- depends_on definition 11.53 Statistical model ¶ ↺
- depends_on definition 11.53 Statistical model ¶ ↺
-
depends_on
definition 11.60
Score and Fisher information
¶
-
depends_on
lemma 11.83
Gaussian quadratic forms
¶
- depends_on definition 11.80 Chi-squared ¶ ↺
- proves proof ch:09-probability-statistics@proof-36 ¶
-
depends_on
lemma 11.52
Slutsky
¶
-
depends_on
definition 11.21
Distribution function
¶
-
depends_on
definition 11.20
Density
¶
-
depends_on
definition 7.39
Darboux sums and the definite integral
¶
- depends_on axiom 7.1 Completeness of $\R$ ¶
-
depends_on
definition 7.39
Darboux sums and the definite integral
¶
-
depends_on
definition 11.20
Density
¶
- proves proof ch:09-probability-statistics@proof-20 ¶
- proves proof ch:09-probability-statistics@proof-21 ¶
-
depends_on
definition 11.21
Distribution function
¶
-
depends_on
theorem 11.67
Asymptotics of the MLE
¶
-
depends_on
corollary 11.51
Weak law of large numbers
¶
-
depends_on
lemma 11.50
Markov and Chebyshev inequalities
¶
-
depends_on
definition 11.6
Moments, variance, standard deviation
¶
- depends_on proposition 11.5 Transfer, linearity, monotonicity ¶
- depends_on proposition 11.5 Transfer, linearity, monotonicity ¶ ↺
- proves proof ch:09-probability-statistics@proof-18 ¶
-
depends_on
definition 11.6
Moments, variance, standard deviation
¶
- proves proof ch:09-probability-statistics@proof-19 ¶
-
depends_on
lemma 11.50
Markov and Chebyshev inequalities
¶
- depends_on definition 11.56 Maximum-likelihood estimator ¶ ↺
- depends_on definition 11.59 Regularity conditions ¶ ↺
-
depends_on
lemma 11.61
Score identities
¶
- depends_on definition 11.60 Score and Fisher information ¶ ↺
- depends_on definition 11.59 Regularity conditions ¶ ↺
- proves proof ch:09-probability-statistics@proof-23 ¶
- depends_on lemma 11.52 Slutsky ¶ ↺
-
depends_on
theorem 11.46
Central limit theorem, Lindeberg–Lévy
¶
-
depends_on
lemma 11.44
Second-order expansion
¶
- depends_on definition 11.42 Characteristic function ¶
- proves proof ch:09-probability-statistics@proof-16 ¶
-
depends_on
proposition 11.43
Elementary properties
¶
- depends_on definition 11.42 Characteristic function ¶ ↺
- proves proof ch:09-probability-statistics@proof-15 ¶
-
depends_on
theorem 11.45
Lévy's continuity theorem
¶
- depends_on definition 11.42 Characteristic function ¶ ↺
- proves proof ch:09-probability-statistics@prooflink-1 ¶
- proves proof ch:09-probability-statistics@proof-17 ¶
-
depends_on
lemma 11.44
Second-order expansion
¶
- proves proof ch:09-probability-statistics@proof-27 ¶
- proves proof ch:09-probability-statistics@proof-29 ¶
-
depends_on
corollary 11.51
Weak law of large numbers
¶
- proves proof ch:09-probability-statistics@proof-38 ¶
- proves proof ch:09-probability-statistics@proof-39 ¶
- proves proof ch:09-probability-statistics@prooflink-4 ¶
Supports
-
depends_on
corollary 11.89
Degrees of freedom with nuisance
parameters
¶
- depends_on example 11.107 Degrading a local five sigma ¶
-
depends_on
proposition 11.93
$Z=\sqrt{q}$
¶
- depends_on example 11.107 Degrading a local five sigma ¶ ↺
- depends_on proposition 113.15 Why categorizing helps, and by how much ¶
- depends_on proposition 113.12 Sensitivity is set by ratio, not by rate ¶
- depends_on remark 11.90 Failure I: a parameter on the boundary ¶
Neighborhood
Every logical edge within two steps of this node.
- declared and complete
- partly declared
- a check failed
- not graded
- declared in the source
- inferred from structure
Edges
| type | direction | node | provenance | where |
|---|---|---|---|---|
depends_on |
→ | Chi-squared | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
→ | Likelihood-ratio test statistic | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
→ | Regularity conditions | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
→ | Gaussian quadratic forms | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
→ | Slutsky | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
→ | Asymptotics of the MLE | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2720 |
depends_on |
← | Degrees of freedom with nuisance parameters | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2815 |
proves |
← | ch:09-probability-statistics@proof-38 | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2723 |
proves |
← | ch:09-probability-statistics@proof-39 | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2765 |
proves |
← | ch:09-probability-statistics@prooflink-4 | declared | parts/02-mathematical-methods/09-probability-statistics.tex:2806 |