User:Zarzuelazen/Books/Reality Theory: Probability&Statistics

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Reality Theory: Probability&Statistics[edit]

A priori probability
Almost surely
Alternative hypothesis
Analysis of covariance
Analysis of variance
Ancillary statistic
Arithmetic mean
Asymptotic distribution
Asymptotic theory (statistics)
Aumann's agreement theorem
Autoregressive integrated moving average
Autoregressive model
Autoregressive–moving-average model
Average treatment effect
Bar chart
Base rate
Base rate fallacy
Bayes estimator
Bayes factor
Bayes' theorem
Bayesian inference
Bayesian probability
Bayesian statistics
Benford's law
Berkson's paradox
Bernoulli distribution
Bernoulli process
Bernoulli trial
Bernstein–von Mises theorem
Bessel process
Beta distribution
Bias (statistics)
Bias of an estimator
Binary data
Binomial distribution
Birthday problem
Bivariate data
Blinded experiment
Blocking (statistics)
Boole's inequality
Bootstrapping (statistics)
Borel–Cantelli lemma
Box plot
Branching process
Calibration (statistics)
Calibrated probability assessment
Campbell's theorem (probability)
Case study
Case–control study
Categorical distribution
Categorical variable
Cauchy distribution
Cauchy process
Causal graph
Causal inference
Causal Markov condition
Censoring (statistics)
Central limit theorem
Central moment
Central tendency
Chain rule (probability)
Change detection
Characteristic function (probability theory)
Characterization of probability distributions
Chebyshev's inequality
Checking whether a coin is fair
Chernoff bound
Chi-squared distribution
Chi-squared test
Chinese restaurant process
Classical definition of probability
Cluster sampling
Coefficient of determination
Coefficient of variation
Cohen's kappa
Coherence (philosophical gambling strategy)
Cohort (statistics)
Cohort study
Coin flipping
Collectively exhaustive events
Collider (statistics)
Common cause and special cause (statistics)
Complementary event
Completeness (statistics)
Complex normal distribution
Complex random variable
Complex random vector
Compound Poisson process
Compound probability distribution
Concentration inequality
Concentration parameter
Conditional dependence
Conditional expectation
Conditional independence
Conditional probability
Conditional probability distribution
Conditional probability table
Conditionality principle
Conditioning (probability)
Confidence and prediction bands
Confidence distribution
Confidence interval
Confusion of the inverse
Conjugate prior
Conjunction fallacy
Consistency (statistics)
Consistent estimator
Contingency table
Continuous or discrete variable
Continuous mapping theorem
Continuous stochastic process
Continuous-time random walk
Contrast (statistics)
Control variable
Controlling for a variable
Convenience sampling
Convergence of random variables
Copula (probability theory)
Correction for attenuation
Correlation and dependence
Correlation coefficient
Correlation does not imply causation
Correlation function
Count data
Coupling (probability)
Covariance function
Covariance matrix
Cox process
Cox's theorem
Cramér's theorem (large deviations)
Cramér's V
Credence (statistics)
Credible interval
Cronbach's alpha
Cromwell's rule
Cross-sectional data
Cross-sectional study
Cumulative distribution function
Cyclostationary process
Data analysis
Data collection
Data dredging
Data transformation (statistics)
Data visualization
De Finetti's theorem
Decomposition of time series
Degenerate distribution
Degrees of freedom (statistics)
Delta method
Density estimation
Dependent and independent variables
Descriptive statistics
Design matrix
Design of experiments
Determinantal point process
Directional statistics
Dirichlet distribution
Dirichlet process
Discrete uniform distribution
Distance correlation
Doob's martingale convergence theorems
Dot plot (statistics)
Double counting (fallacy)
Dummy variable (statistics)
Ecological fallacy
Effect size
Efficiency (statistics)
Efficient estimator
Elementary event
Elliptical distribution
Empirical Bayes method
Empirical distribution function
Empirical measure
Empirical probability
Empirical process
Ergodic process
Erlang distribution
Error bar
Errors and residuals
Errors-in-variables models
Estimating equations
Estimation statistics
Estimation theory
Event (probability theory)
Exact statistics
Exact test
Exchangeable random variables
Explained sum of squares
Expected value
Experiment (probability theory)
Exploratory data analysis
Exponential dispersion model
Exponential distribution
Exponential family
External validity
Extreme value theory
Factorial experiment
Factorial moment
Factorial moment measure
Fair coin
False positive rate
False positives and false negatives
Fat-tailed distribution
Faulty generalization
Filtration (probability theory)
Finite-dimensional distribution
First-hitting-time model
Fisher's exact test
Fleiss' kappa
Forecast error
Foundations of statistics
Fraction of variance unexplained
Fractional factorial design
Frequency (statistics)
Frequency distribution
Frequentist inference
Frequentist probability
Gambler's fallacy
Gamma distribution
Gauss–Markov theorem
Gaussian process
Generalized mean
Generalized method of moments
Generalized p-value
Geometric distribution
Geometric mean
Gompertz distribution
Goodness of fit
Granger causality
Graph drawing
Graphical model
Grouped data
Harmonic mean
Hazard ratio
Heavy-tailed distribution
Heckman correction
Hitting time
Homogeneity (statistics)
Hurst exponent
Hypergeometric distribution
Imputation (statistics)
Independence (probability theory)
Independent and identically distributed random variables
Index of dispersion
Inductive probability
Inequality of arithmetic and geometric means
Infinite monkey theorem
Instrumental variables estimation
Interaction (statistics)
Internal validity
Inter-rater reliability
Interval estimation
Interviewer effect
Interquartile range
Intraclass correlation
Invariant estimator
Inverse distribution
Inverse Gaussian distribution
Inverse-gamma distribution
Inverse-Wishart distribution
Jackknife resampling
James–Stein estimator
Jeffreys prior
Joint probability distribution
Kernel (statistics)
Kernel density estimation
Kernel smoother
Kolmogorov's zero–one law
Large deviations theory
Latent variable
Latent variable model
Law (stochastic processes)
Law of large numbers
Law of the iterated logarithm
Law of the unconscious statistician
Law of total covariance
Law of total cumulance
Law of total expectation
Law of total probability
Law of total variance
Level of measurement
Lévy's continuity theorem
Likelihood function
Likelihood principle
Likelihood-ratio test
Line chart
List of probability distributions
Local asymptotic normality
Local martingale
Local time (mathematics)
Location parameter
Location test
Location–scale family
Log-logistic distribution
Log-normal distribution
Log probability
Logarithmic scale
Logistic distribution
Log–log plot
Long-range dependence
Long tail
Longitudinal study
Lord's paradox
Lovász local lemma
Lévy distribution
Lévy process
Main effect
Margin of error
Marginal distribution
Marginal likelihood
Markov kernel
Markov model
Markov property
Markov's inequality
Martingale (probability theory)
Matching (statistics)
Mathematical statistics
Maximum a posteriori estimation
Maximum entropy probability distribution
Maximum likelihood estimation
Maximum spacing estimation
McNemar's test
Mean absolute error
Mean square
Mean squared error
Mediation (statistics)
Method of moments (statistics)
Minimum mean square error
Minimum-variance unbiased estimator
Missing data
Misuse of statistics
Mixture (probability)
Mixture distribution
Mode (statistics)
Model selection
Moderated mediation
Moderation (statistics)
Moment (mathematics)
Moment-generating function
Moment measure
Moving average
Moving-average model
Multimodal distribution
Multinomial distribution
Multinomial test
Multiple comparisons problem
Multiple correlation
Multivariate analysis of variance
Multivariate normal distribution
Multivariate random variable
Multivariate statistics
Multivariate t-distribution
Mutual exclusivity
Natural experiment
Natural exponential family
Negative binomial distribution
Negative probability
Nonparametric statistics
Nonprobability sampling
Normal distribution
Normality test
Normalization (statistics)
Normalizing constant
Nuisance parameter
Null distribution
Null hypothesis
Observable variable
Observational error
Observational study
Odds ratio
Omitted-variable bias
One- and two-tailed tests
One-way analysis of variance
Opinion poll
Optimal design
Optional stopping theorem
Order of magnitude
Order statistic
Ordinal data
Outcome (probability)
P–P plot
Paired data
Paired difference test
Pairwise independence
Panel analysis
Panel data
Parallel coordinates
Parameter identification problem
Parameter space
Parametric model
Parametric statistics
Pareto distribution
Partial correlation
Participation bias
Partition of sums of squares
Pearson correlation coefficient
Pearson's chi-squared test
Phi coefficient
Philosophy of statistics
Pie chart
Pivotal quantity
Plot (graphics)
Point estimation
Point process
Poisson distribution
Poisson point process
Posterior predictive distribution
Posterior probability
Power (statistics)
Power law
Power transform
Precision (statistics)
Prediction interval
Preferential attachment
Principle of indifference
Principle of maximum caliber
Principle of maximum entropy
Principle of transformation groups
Prior probability
Probabilistic causation
Probabilistic forecasting
Probability axioms
Probability density function
Probability distribution
Probability distribution fitting
Probability integral transform
Probability interpretations
Probability mass function
Probability measure
Probability space
Probability theory
Probability-generating function
Product distribution
Propensity probability
Prosecutor's fallacy
Proxy (statistics)
Pythagorean means
Pólya urn model
q-exponential distribution
q-Gaussian distribution
Q–Q plot
Quantile function
Quota sampling
Questionnaire construction
R (programming language)
Rademacher distribution
Radical probabilism
Random assignment
Random element
Random field
Random graph
Random matrix
Random measure
Random sequence
Random variable
Random walk
Randomized block design
Randomized controlled trial
Randomized experiment
Range (statistics)
Rank correlation
Rank-size distribution
Rate function
Ratio distribution
Raw data
Realization (probability)
Reduced form
Reference class problem
Regenerative process
Regression analysis
Regression dilution
Regression toward the mean
Regression validation
Regular conditional probability
Relative risk
Relative risk reduction
Reliability (statistics)
Renewal theory
Repeated measures design
Replication (statistics)
Resampling (statistics)
Rescaled range
Research design
Residual sum of squares
Response bias
Response rate (survey)
Risk difference
Robust Bayesian analysis
Robust statistics
Root-mean-square deviation
Rule of succession
Sample (statistics)
Sample maximum and minimum
Sample mean and covariance
Sample size determination
Sample space
Sampling (statistics)
Sampling bias
Sampling distribution
Sampling error
Sampling frame
Sampling probability
Scale parameter
Scaled correlation
Scatter plot
Scientific control
Score (statistics)
Score test
Scott's Pi
Selection bias
Self-report study
Self-selection bias
Self-similar process
Semi-log plot
Semiparametric model
Sensitivity and specificity
Sequential analysis
Set estimation
Set identification
Shape of a probability distribution
Shape parameter
Shrinkage (statistics)
Sign test
Simple random sample
Simpson's paradox
Simultaneous equations model
Singular distribution
Smoothness (probability theory)
Sobel test
Social desirability bias
Sparsity-of-effects principle
Spearman's rank correlation coefficient
Spurious relationship
Squared deviations from the mean
Stability (probability)
Stable distribution
Standard deviation
Standard error
Standard probability space
Standard score
Standardized moment
Stationary ergodic process
Stationary process
Statistical assumption
Statistical conclusion validity
Statistical dispersion
Statistical graphics
Statistical hypothesis testing
Statistical inference
Statistical model
Statistical model specification
Statistical model validation
Statistical parameter
Statistical population
Statistical power
Statistical significance
Statistical theory
Statistical unit
Stein's example
Stem-and-leaf display
Stochastic chains with memory of variable length
Stochastic dominance
Stochastic matrix
Stochastic ordering
Stochastic process
Stopped process
Stopping time
Stratified sampling
Structured interview
Student's t-distribution
Student's t-test
Studentized residual
Study heterogeneity
Sufficient statistic
Summary statistics
Survey (human research)
Survey data collection
Survey methodology
Survey sampling
Survival analysis
Survival function
Survival rate
Survivorship bias
Symmetric probability distribution
Systematic sampling
Test statistic
Time series
Tolerance interval
Total sum of squares
Total survey error
Tracy–Widom distribution
Transition kernel
Treatment and control groups
Trend stationary
Trimmed estimator
Truncated distribution
Truncated mean
Truncation (statistics)
Tsallis distribution
Tweedie distribution
Two-way analysis of variance
Type I and type II errors
Uncorrelated random variables
Uniform distribution (continuous)
Unit root
Unit root test
Univariate (statistics)
Univariate distribution
Urn problem
Validity (statistics)
Wald test
Wald's equation
Weibull distribution
Weighted arithmetic mean
Wiener process
Wilcoxon signed-rank test
Wishart distribution
Zipf's law