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Technical

Technical Statistical Capabilities

Predictive Modeling and Forecasting

Regression

Regression analysis is a statistical process for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables. Regression analysis helps us understand how the typical value of the dependent variable changes when any one of the independent variables is varied, while the other independent variables are held fixed.

Types of Regression Analysis methods include:

  • Linear, Multiple, Non-linear, Robust, Ridge, Logistic, Poisson

Time Series Analysis

A time series is a sequence of data points spaced at uniform time intervals such as daily stock prices or monthly index values. Time Series Analysis involves using various statistical methods to make predictions about future events from past data.

Types of Time Series Analysis methods include:

  • AR, MA, ARMA, ARIMA, GARCH, ARCH

Simulation

Simulation is a statistical technique used to predict the behavior of a system from a set of parameters and initial conditions. Computer simulation is often used for modeling systems where simple closed form analytic solutions are not possible to calculate.

Types of Simulation include:

  • Monte Carlo Simulation, Discrete Simulation, System Comparison, Variance Reduction

Data Mining

Data mining is the application of statistical methods to extract information from data.

Data Mining Techniques Include

  • Clustering, Classification, Regression, and Association Rule Learning.

Experimental Design

Experimental design is a statistical tool used to test whether there is a cause and effect relationship between variables. Proper design includes randomization, replication, and blocking.

Types of Experimental Designs include:

  • Completely Randomized Design, Randomized Block Designs, Latin Squares, Full and Fractional Factorial, Split-Plot Design

Statistical Software Packages

Statistical software packages are tools and each package has its advantages or disadvantages from another. Depending upon the project, one package may be a better fit than another based upon features, customizability, cost, and the current software the client organization is using.

Types of Statistical Software Packages include:

Alpha Analysis Consulting is fluent with all of the above statistical packages, languages, and operating systems.

Please contact Alpha Analysis Consulting with any inquiries.