In machine learning, the Logistic Regression algorithm is used for ... Continue reading

# Statistics

## ARIMA Modelling – Identify Model f …

The first step is to identify a possible model for a given time series. To ... Continue reading

## ARIMA Modelling in R …

We now have a fair idea about how we can use ARIMA modelling in R to ... Continue reading

## Forecasting with AutoRegressive (AR) Mod …

Now that we know how to estimate the AR model using ARIMA, we can create a ... Continue reading

## Estimating AutoRegressive (AR) Model in …

We will now see how we can fit an AR model to a given time series using ... Continue reading

## AutoRegressive (AR) Model in R …

AutoRegressive (AR) model is one of the most popular time series model. In ... Continue reading

## Simulate Random Walk (RW) in R …

When a series follows a random walk model, it is said to be non-stationary. ... Continue reading

## Autocorrelation in R …

Autocorrelation is an important part of time series analysis. It helps us ... Continue reading

## Differencing and Log Transformation …

Removing Variability Using Logarithmic Transformation Since the data ... Continue reading

## Transforming a Series to Stationary …

Most financial and economic times series are not stationary. Even when you ... Continue reading

## Stationary Process in Time Series …

A common assumption made in time series analysis is that one of the ... Continue reading

## Check If Data Is Normally Distributed Us …

The first step to check if your data is normally distributed is to plot a ... Continue reading

## Big Data and the Role of the Data Scient …

The latest adventurers are into analysing Big Data to get invaluable nuggets ... Continue reading

## Understanding Hypothesis Testing and p-v …

Behavioral scientists, market researchers, astrophysicists, drug testers all ... Continue reading

## How to Read Student’s t Distributi …

Student’s t distribution table has the following structure: The row ... Continue reading

## Why Lognormal Distribution is Used to De …

The concept of lognormal distribution is very closely related to the concept ... Continue reading

## How to Construct a Frequency Distributio …

The statistical data that we collect can be presented in the form of a ... Continue reading

## Best Linear Unbiased Estimator (B.L.U.E. …

The Need There are several issues when trying to find the Minimum ... Continue reading

## Linear Combinations of Random Variables …

The joint distribution of a particular pair of linear combinations of random ... Continue reading

## Independent and Identically Distributed …

Definition I.I.D’s or independent and identically distributed variables are ... Continue reading