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
    Autocovariance
    Autoregressive integrated moving average
    Autoregressive model
    Autoregressive–moving-average model
    Average
    Average treatment effect
    Bar chart
    Base rate
    Base rate fallacy
    Bayes estimator
    Bayes factor
    Bayes' theorem
    Bayesian experimental design
    Bayesian inference
    Bayesian probability
    Bayesian statistics
    Benford's law
    Berkson's paradox
    Bernoulli distribution
    Bernoulli process
    Bernoulli trial
    Bernstein inequalities (probability theory)
    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)
    Bonferroni correction
    Boole's inequality
    Bootstrapping (statistics)
    Borel–Cantelli lemma
    Box plot
    Branching process
    Calibrated probability assessment
    Calibration (statistics)
    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
    Chow test
    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
    Cointegration
    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
    Confounding
    Confusion of the inverse
    Conjugate prior
    Conjunction fallacy
    Consistency (statistics)
    Consistent estimator
    Contingency table
    Continuous mapping theorem
    Continuous or discrete variable
    Continuous stochastic process
    Continuous uniform distribution
    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
    Covariance function
    Covariance matrix
    Cox process
    Cox's theorem
    Cramér's theorem (large deviations)
    Cramér's V
    Credence (statistics)
    Credible interval
    Cromwell's rule
    Cronbach's alpha
    Cross-covariance
    Cross-sectional data
    Cross-sectional study
    Crossover study
    Cumulant
    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
    Dendrogram
    Density estimation
    Dependent and independent variables
    Descriptive statistics
    Design matrix
    Design of experiments
    Determinantal point process
    Diffusion 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
    Equipossibility
    Equiprobability
    Ergodic process
    Erlang distribution
    Error bar
    Error correction model
    Errors and residuals
    Errors-in-variables models
    Estimand
    Estimating equations
    Estimation
    Estimation statistics
    Estimation theory
    Estimator
    Event (probability theory)
    Exact statistics
    Exact test
    Exchangeable random variables
    Expected value
    Experiment
    Experiment (probability theory)
    Explained sum of squares
    Exploratory data analysis
    Exponential dispersion model
    Exponential distribution
    Exponential family
    External validity
    Extreme value theory
    F-distribution
    F-test
    Factorial experiment
    Factorial moment
    Factorial moment measure
    Fair coin
    False positive rate
    False positives and false negatives
    Family-wise error rate
    Fat-tailed distribution
    Faulty generalization
    Filtration (probability theory)
    Finite-dimensional distribution
    First-hitting-time model
    Fisher's exact test
    Fleiss' kappa
    Forecast error
    Forecasting
    Foundations of statistics
    Fraction of variance unexplained
    Fractional factorial design
    Frequency (statistics)
    Frequency distribution
    Frequentist inference
    Frequentist probability
    G-test
    Gambler's fallacy
    Gamma distribution
    Gaussian free field
    Gaussian process
    Gaussian random field
    Gauss–Markov theorem
    Generalized mean
    Generalized method of moments
    Generalized p-value
    Geometric distribution
    Geometric mean
    Glivenko–Cantelli theorem
    Gompertz distribution
    Goodness of fit
    Granger causality
    Graph drawing
    Graphical model
    Group testing
    Grouped data
    Harmonic mean
    Hazard ratio
    Heavy-tailed distribution
    Heckman correction
    Heteroscedasticity
    Histogram
    Hitting time
    Holm–Bonferroni method
    Homogeneity (statistics)
    Homoscedasticity
    Hurst exponent
    Hypergeometric distribution
    Hyperparameter
    Hyperprior
    Identifiability
    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
    Infographic
    Instrumental variables estimation
    Inter-rater reliability
    Interaction (statistics)
    Internal validity
    Interquartile range
    Interval estimation
    Interview
    Interviewer effect
    Intraclass correlation
    Invariant estimator
    Inverse distribution
    Inverse Gaussian distribution
    Inverse-gamma distribution
    Inverse-Wishart distribution
    Isserlis' theorem
    Jackknife resampling
    James–Stein estimator
    Jeffreys prior
    Johansen test
    Joint probability distribution
    Jump diffusion
    Jump process
    Kernel (statistics)
    Kernel density estimation
    Kernel smoother
    Kolmogorov's zero–one law
    Kurtosis
    L-estimator
    L-moment
    Lag operator
    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
    Likelihood function
    Likelihood principle
    Likelihood-ratio test
    Line chart
    Linear trend estimation
    List of probability distributions
    Local asymptotic normality
    Local martingale
    Local time (mathematics)
    Location parameter
    Location test
    Location–scale family
    Log probability
    Log-logistic distribution
    Log-normal distribution
    Logarithmic scale
    Logistic distribution
    Log–log plot
    Long tail
    Long-range dependence
    Longitudinal study
    Lord's paradox
    Lévy distribution
    Lévy process
    Lévy's continuity theorem
    M-estimator
    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
    MATLAB
    Maximum a posteriori estimation
    Maximum entropy probability distribution
    Maximum likelihood estimation
    Maximum spacing estimation
    McNemar's test
    Mean
    Mean absolute error
    Mean square
    Mean squared error
    Median
    Mediation (statistics)
    Memorylessness
    Meta-analysis
    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 measure
    Moment-generating function
    Moving average
    Moving-average model
    Multicollinearity
    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
    Neyman–Pearson lemma
    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
    Odds ratio
    Omitted-variable bias
    One- and two-tailed tests
    One-way analysis of variance
    Operationalization
    Opinion poll
    Optimal design
    Optional stopping theorem
    Order of integration
    Order of magnitude
    Order statistic
    Ordinal data
    Outcome (probability)
    Outlier
    Overdispersion
    P-value
    Paired data
    Paired difference test
    Pairwise independence
    Panel analysis
    Panel data
    Parallel coordinates
    Parallel study
    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
    Percentile
    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 of a test
    Power transform
    Precision (statistics)
    Prediction interval
    Predictive probability of success
    Preferential attachment
    Principle of indifference
    Principle of maximum caliber
    Principle of maximum entropy
    Principle of transformation groups
    Prior probability
    Probabilistic causation
    Probabilistic forecasting
    Probability
    Probability axioms
    Probability density function
    Probability distribution
    Probability distribution fitting
    Probability integral transform
    Probability interpretations
    Probability mass function
    Probability measure
    Probability of success
    Probability space
    Probability theory
    Probability-generating function
    Product distribution
    Propensity probability
    Prosecutor's fallacy
    Proxy (statistics)
    Pseudolikelihood
    Pseudoreplication
    Pythagorean means
    Pólya urn model
    P–P plot
    Q-exponential distribution
    Q-Gaussian distribution
    Quantile
    Quantile function
    Quartile
    Questionnaire
    Questionnaire construction
    Quota sampling
    Q–Q plot
    Rademacher distribution
    Radical probabilism
    Random assignment
    Random element
    Random field
    Random graph
    Random matrix
    Random measure
    Random sequence
    Random variable
    Random walk
    Randomization
    Randomized block design
    Randomized controlled trial
    Randomized experiment
    Range (statistics)
    Rank correlation
    Rank-size distribution
    Ranking
    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
    Repeatability
    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
    Semi-structured interview
    Semimartingale
    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
    Skewness
    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
    Statistic
    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
    Statistics
    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
    Structural break
    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
    T-statistic
    Test statistic
    Time series
    Tolerance interval
    Total sum of squares
    Total survey error
    Tracy–Widom distribution
    Transition kernel
    Treatment and control groups
    Trend stationary
    Trend-stationary process
    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)
    Uniformly most powerful test
    Unimodality
    Unit root
    Unit root test
    Univariate (statistics)
    Univariate distribution
    Unstructured interview
    Urn problem
    Validity (statistics)
    Variance
    Vector autoregression
    Wald test
    Wald's equation
    Weibull distribution
    Weighted arithmetic mean
    Wiener process
    Wilcoxon signed-rank test
    Wishart distribution
    Z-test
    Zipf's law