

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.
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.
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.
Data mining is the application of statistical methods to extract information from data.
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.
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.
Alpha Analysis Consulting is fluent with all of the above statistical packages, languages, and operating systems.
Please contact Alpha Analysis Consulting with any inquiries.