Do you ever wonder all the ways that a problem can be solved statistically? Well here is a list of over 200 statistical procedures! How many do you know? How many have you actually used? Want to see even more? Scroll to the bottom to see links to hundreds more!

Analysis of Variance

  • One-Way Analysis of Variance
  • Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
  • Balanced Design Analysis of Variance
  • General Linear Models (GLM)
  • Repeated Measures Analysis of Variance
  • Multivariate Analysis of Variance (MANOVA)
  • Analysis of Two-Level Designs
  • Nondetects-Data Group Comparison
  • Area Under Curve

Clustering

  • Fuzzy Clustering
  • Hierarchical Clustering / Dendrograms
  • K-Means Clustering
  • Medoid Partitioning
  • Regression Clustering

Correlation

  • Linear Regression and Correlation
  • Box-Cox Transformation for Simple Linear Regression
  • Point-Biserial and Biserial Correlations
  • Correlation Matrix
  • Canonical Correlation
  • Lin’s Concordance Correlation Coefficient
  • Bland-Altman Plot and Analysis

Curve Fitting

  • Curve Fitting – General
  • Michaelis-Menten Equation
  • Ratio of Polynomials Fit – One Variable
  • Ratio of Polynomials Search – One Variable
  • Reference Intervals with a Covariate
  • Sum of Functions Models
  • Nonlinear Regression
  • Ratio of Polynomials Fit – Many Variables
  • Ratio of Polynomials Search – Many Variables
  • Function Plots
  • Scatter Plot Matrix for Curve Fitting

Descriptive Statistics

  • Descriptive Statistics
  • Descriptive Statistics – Summary Tables
  • Contingency Tables (Crosstabs / Chi-Square Test)
  • Frequency Tables
  • Box-Cox Transformation
  • Data Screening
  • Data Simulation
  • Grubbs’ Outlier Test
  • Normality Tests
  • Stem-and-Leaf Plots
  • Back-to-Back Stem-and-Leaf Plots
  • Item Analysis
  • Item Response Analysis
  • Area Under Curve
  • Circular Data Analysis
  • Tolerance Intervals

Design of Experiments

  • Randomization Lists
  • Balanced Incomplete Block Designs
  • Fractional Factorial Designs
  • Latin Square Designs
  • Response Surface Designs
  • Screening Designs
  • Taguchi Designs
  • Two-Level Designs
  • Design Generator
  • D-Optimal Designs
  • Analysis of Two-Level Designs
  • Response Surface Regression

Forecasting / Time Series

  • ARIMA (Box-Jenkins)
  • Automatic ARMA
  • Theoretical ARMA
  • Autocorrelations
  • Cross-Correlations
  • Spectral Analysis
  • Decomposition Forecasting
  • Exponential Smoothing – Horizontal
  • Exponential Smoothing – Trend
  • Exponential Smoothing – Trend / Seasonal
  • Harmonic Regression
  • Analysis of Runs
  • Time Series Plots

Mass Appraisal

  • Appraisal Ratios
  • Comparables – Sales Price
  • Hybrid Appraisal Models
  • Descriptive Statistics
  • Descriptive Statistics – Summary Tables
  • Multiple Regression
  • Nonlinear Regression

Meta-Analysis

  • Meta-Analysis of Correlated Proportions
  • Meta-Analysis of Hazard Ratios
  • Meta-Analysis of Means
  • Meta-Analysis of Proportions
  • Forest Plots

Mixed Models

  • Mixed Models – General
  • Mixed Models – No Repeated Measures
  • Mixed Models – Repeated Measures
  • Mixed Models – Random Coefficients

Multivariate

  • Canonical Correlation
  • Equality of Covariance
  • Factor Analysis
  • Principal Components Analysis
  • Discriminant Analysis
  • Hotelling’s One-Sample T2
  • Hotelling’s Two-Sample T2
  • Multivariate Analysis of Variance (MANOVA)
  • Correspondence Analysis
  • Multidimensional Scaling

Nonparametric

  • Analysis of Runs
  • Bootstrap Confidence Intervals (One-Sample T-Test)
  • Bootstrap Confidence Intervals (Paired T-Test)
  • Bootstrap Confidence Intervals (Two-Sample T-Test)
  • Cochran’s Q Test
  • Cumulative Incidence
  • Friedman’s Rank Test (Balanced Design ANOVA)
  • Kaplan-Meier Curves (Logrank Tests)
  • Kolmogorov-Smirnov Test (Two-Sample T-Test)
  • Kruskal-Wallis Test (One-Way ANOVA)
  • Mann-Whitney U Test (Two-Sample T-Test)
  • Nondetects-Data Group Comparison
  • Randomization Test (One-Sample T-Test)
  • Randomization Test (Paired T-Test)
  • Randomization Test (Two-Sample T-Test)
  • ROC Curves
  • Spearman Rank Correlation (Correlation Matrix, Linear Regression and Correlation)
  • Wilcoxon Signed-Rank Test (One-Sample T-Test)
  • Wilcoxon Signed-Rank Test (Paired T-Test)

Operations Research

  • Linear Programming

Proportions

  • One Proportion
  • Two Proportions
  • Two Proportions – Non-Inferiority Tests
  • Two Proportions – Superiority Tests
  • Two Proportions – Equivalence Tests
  • Two Proportions – Two-Sided Tests vs. a Margin
  • Two Correlated Proportions (McNemar Test)
  • Two Correlated Proportions – Non-Inferiority Tests
  • Two Correlated Proportions – Superiority Tests
  • Two Correlated Proportions – Equivalence Tests
  • Contingency Tables (Crosstabs / Chi-Square Test)
  • Frequency Tables
  • Cochran’s Q Test
  • Loglinear Models
  • Mantel-Haenszel Test
  • ROC Curves
  • Item Analysis
  • Item Response Analysis
  • Binary Diagnostic Tests – Single Sample
  • Binary Diagnostic Tests – Two Independent Samples
  • Binary Diagnostic Tests – Paired Samples
  • Binary Diagnostic Tests – Clustered Samples

Quality Control

  • X-bar and R Charts
  • X-bar and s Charts
  • X-bar Charts
  • R Charts
  • s Charts
  • CUSUM Charts
  • Moving Average Charts
  • EWMA Charts
  • Individuals and Moving Range Charts
  • Levey-Jennings Charts
  • P Charts
  • NP Charts
  • C Charts
  • U Charts
  • Capability Analysis
  • R & R Study
  • Tolerance Intervals
  • Lag Plots
  • Analysis of Runs
  • Pareto Charts

Regression

  • Linear Regression and Correlation
  • Box-Cox Transformation for Simple Linear Regression
  • Deming Regression
  • Harmonic Regression
  • Mixed Models – Random Coefficients
  • Point-Biserial and Biserial Correlations
  • Multiple Regression
  • Multiple Regression with Serial Correlation
  • Nondetects Data Regression
  • Principal Components Regression
  • Response Surface Regression
  • Ridge Regression
  • Robust Regression
  • Cox Regression
  • Parametric Survival (Weibull) Regression
  • Logistic Regression
  • Discriminant Analysis
  • Poisson Regression
  • Probit Analysis
  • Nonlinear Regression

Regression (Variable Selection)

  • All Possible Regressions
  • Stepwise Regression
  • Subset Selection in Multiple Regression
  • Subset Selection in Multivariate Y Multiple Regression
  • Cox Regression
  • Discriminant Analysis
  • Logistic Regression
  • Poisson Regression

Survival / Reliability

  • Cumulative Incidence
  • Kaplan-Meier Curves (Logrank Tests)
  • Life-Table Analysis
  • Cox Regression
  • Parametric Survival (Weibull) Regression
  • Beta Distribution Fitting
  • Distribution (Weibull) Fitting
  • Gamma Distribution Fitting
  • Mantel-Haenszel Test
  • Probit Analysis
  • Time Calculator
  • Tolerance Intervals
  • Survival Parameter Conversion Tool
  • Survival Plots

T-Tests

  • One-Sample T-Test
  • Paired T-Test
  • Paired T-Test for Non-Inferiority
  • Paired T-Test for Equivalence
  • Two-Sample T-Test
  • Two-Sample T-Test from Means and SD’s
  • Box-Cox Transformation for Two or More Groups (T-Test and One-Way ANOVA)
  • Testing Non-Inferiority with Two Independent Samples
  • Testing Equivalence with Two Independent Samples
  • Bland-Altman Plot and Analysis
  • Hotelling’s One-Sample T2
  • Hotelling’s Two-Sample T2
  • Analysis of Two-Level Designs
  • Cross-Over Analysis Using T-Tests

Source: ncss

Want even more? Check out this pdf from NCSS here

 
About The Author

Joshua Burkhow

Joshua is an experienced analytics professional with focus on areas such as Analytics, Big Data, Business Intelligence, Data Science and Statistics. He has more than 13 years experience in Business Intelligence & Data Warehousing, Analtyics, IT Management, Software Engineering and Supply Chain Performance Management with Fortune 500 companies. He has specializations in building Analytics organizations, Mobile Reporting, Performance Management, and Business Analysis.

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