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Revision as of 11:37, 11 February 2024 by
imported>Kj cheetham
(Fix wl)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
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Statistics
Outline
Index
Descriptive statistics
Continuous data
Center
Mean
Arithmetic
Arithmetic-Geometric
Cubic
Generalized/power
Geometric
Harmonic
Heronian
Heinz
Lehmer
Median
Mode
Dispersion
Average absolute deviation
Coefficient of variation
Interquartile range
Percentile
Range
Standard deviation
Variance
Shape
Central limit theorem
Moments
Kurtosis
L-moments
Skewness
Count data
Index of dispersion
Summary tables
Contingency table
Frequency distribution
Grouped data
Dependence
Partial correlation
Pearson product-moment correlation
Rank correlation
Kendall's τ
Spearman's ρ
Scatter plot
Graphics
Bar chart
Biplot
Box plot
Control chart
Correlogram
Fan chart
Forest plot
Histogram
Pie chart
Q–Q plot
Radar chart
Run chart
Scatter plot
Stem-and-leaf display
Violin plot
Data collection
Study design
Effect size
Missing data
Optimal design
Population
Replication
Sample size determination
Statistic
Statistical power
Survey methodology
Sampling
Cluster
Stratified
Opinion poll
Questionnaire
Standard error
Controlled experiments
Blocking
Factorial experiment
Interaction
Random assignment
Randomized controlled trial
Randomized experiment
Scientific control
Adaptive designs
Adaptive clinical trial
Stochastic approximation
Up-and-down designs
Observational studies
Cohort study
Cross-sectional study
Natural experiment
Quasi-experiment
Statistical inference
Statistical theory
Population
Statistic
Probability distribution
Sampling distribution
Order statistic
Empirical distribution
Density estimation
Statistical model
Model specification
L
p
space
Parameter
location
scale
shape
Parametric family
Likelihood
(monotone)
Location–scale family
Exponential family
Completeness
Sufficiency
Statistical functional
Bootstrap
U
V
Optimal decision
loss function
Efficiency
Statistical distance
divergence
Asymptotics
Robustness
Frequentist inference
Point estimation
Estimating equations
Maximum likelihood
Method of moments
M-estimator
Minimum distance
Unbiased estimators
Mean-unbiased minimum-variance
Rao–Blackwellization
Lehmann–Scheffé theorem
Median unbiased
Plug-in
Interval estimation
Confidence interval
Pivot
Likelihood interval
Prediction interval
Tolerance interval
Resampling
Bootstrap
Jackknife
Testing hypotheses
1- & 2-tails
Power
Uniformly most powerful test
Permutation test
Randomization test
Multiple comparisons
Parametric tests
Likelihood-ratio
Score/Lagrange multiplier
Wald
Specific tests
Z
-test
(normal)
Student's
t
-test
F
-test
Goodness of fit
Chi-squared
G
-test
Kolmogorov–Smirnov
Anderson–Darling
Lilliefors
Jarque–Bera
Normality
(Shapiro–Wilk)
Likelihood-ratio test
Model selection
Cross validation
AIC
BIC
Rank statistics
Sign
Sample median
Signed rank
(Wilcoxon)
Hodges–Lehmann estimator
Rank sum
(Mann–Whitney)
Nonparametric
anova
1-way
(Kruskal–Wallis)
2-way
(Friedman)
Ordered alternative
(Jonckheere–Terpstra)
Van der Waerden test
Bayesian inference
Bayesian probability
prior
posterior
Credible interval
Bayes factor
Bayesian estimator
Maximum posterior estimator
Correlation
Regression analysis
Correlation
Pearson product-moment
Partial correlation
Confounding variable
Coefficient of determination
Regression analysis
Errors and residuals
Regression validation
Mixed effects models
Simultaneous equations models
Multivariate adaptive regression splines (MARS)
Linear regression
Simple linear regression
Ordinary least squares
General linear model
Bayesian regression
Non-standard predictors
Nonlinear regression
Nonparametric
Semiparametric
Isotonic
Robust
Heteroscedasticity
Homoscedasticity
Generalized linear model
Exponential families
Logistic
(Bernoulli)
/
Binomial
/
Poisson regressions
Partition of variance
Analysis of variance (ANOVA, anova)
Analysis of covariance
Multivariate ANOVA
Degrees of freedom
Categorical
/
Multivariate
/
Time-series
/
Survival analysis
Categorical
Cohen's kappa
Contingency table
Graphical model
Log-linear model
McNemar's test
Cochran–Mantel–Haenszel statistics
Multivariate
Regression
Manova
Principal components
Canonical correlation
Discriminant analysis
Cluster analysis
Classification
Structural equation model
Factor analysis
Multivariate distributions
Elliptical distributions
Normal
Time-series
General
Decomposition
Trend
Stationarity
Seasonal adjustment
Exponential smoothing
Cointegration
Structural break
Granger causality
Specific tests
Dickey–Fuller
Johansen
Q-statistic
(Ljung–Box)
Durbin–Watson
Breusch–Godfrey
Time domain
Autocorrelation (ACF)
partial (PACF)
Cross-correlation (XCF)
ARMA model
ARIMA model
(Box–Jenkins)
Autoregressive conditional heteroskedasticity (ARCH)
Vector autoregression (VAR)
Frequency domain
Spectral density estimation
Fourier analysis
Least-squares spectral analysis
Wavelet
Whittle likelihood
Survival
Survival function
Kaplan–Meier estimator (product limit)
Proportional hazards models
Accelerated failure time (AFT) model
First hitting time
Hazard function
Nelson–Aalen estimator
Test
Log-rank test
Applications
Biostatistics
Bioinformatics
Clinical trials
/
studies
Epidemiology
Medical statistics
Engineering statistics
Chemometrics
Methods engineering
Probabilistic design
Process
/
quality control
Reliability
System identification
Social statistics
Actuarial science
Census
Crime statistics
Demography
Econometrics
Jurimetrics
National accounts
Official statistics
Population statistics
Psychometrics
Spatial statistics
Cartography
Environmental statistics
Geographic information system
Geostatistics
Kriging
Category
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