12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
The least squares method is a procedure for fitting data to a mathematical function. It is commonly used in statistical analysis to estimate the parameters of a given function from a set of observed data points. The procedure consists of minimizing the deviation between the observed values and the predicted values by adjusting the parameters of the function.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Autocorrelation analysis is a statistical technique used to examine dependencies in a data set. It measures the similarity of a variable to itself at different points in time. It can be used to examine the stationary and trend properties of a series and determine if it is self-correlated. Autocorrelation analysis is often used to predict future values of a behavior or event.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A random sample is a selection method in which a group of elements from a given population is selected based on randomness. Each element in the population has an equal probability of being included in the sample, and each element that is selected is considered part of the sample. This method is often used in research and statistical analysis to obtain a representative group that may not be obtained by other selection methods.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A parametric test is a test used to test a hypothesis about a particular parameter structure. It examines the statistical properties of a set of variables to determine whether they fit a particular model. Parametric tests typically use parameters calculated from the distribution of theoretical parameters to confirm or reject a hypothesis. These tests are often used in statistics to test hypotheses about populations or treatment effects.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A significance test is a statistical test used to determine whether or not a result is significant. It is used to determine whether the results of an experiment or study are truly relevant or whether they are simply due to chance. A significance test is usually used to test a hypothesis by determining the probability that a particular observation is random.