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ARCH & GARCH Models
Leverage advanced volatility models for time-series analysis essential for understanding financial market dynamics.
ARIMA Models
Utilize Autoregressive Integrated Moving Average models for time-series forecasting and analysis.
Autocorrelation Models
Study relationships between successive observations to critically identify patterns and trends in data.
Beta Regression
Explore relationships between variables with beta distribution, which are ideal for modeling proportions and rates.
Bootstrapping
Apply resampling techniques to estimate statistical properties to increase robustness in data analysis.
Chow Test & Goldfeld-Quandt Test
Conduct structural break tests to identify shifts in relationships within datasets.
Cointegration Testing
Assess long-term equilibrium relationships between variables that are crucial in economic and financial modeling.
Cumulative Distribution Function Computation
Calculate cumulative probabilities for continuous random variables to help in distribution analysis.
CUSUM Tests
Implement Cumulative Sum tests to detect shifts or changes in data distribution over time.
Descriptive Statistics
Generate key summary statistics to get insights into the central tendencies and variability of datasets.
Brand Name | SHAZAM Analytics |
Information | SHAZAM Analytics is a leading provider of software and services used worldwide in Econometrics, Statistics and Analytics. |
Founded Year | 1999 |
Director/Founders | SHAZAM Analytics |
Company Size | 1-100 Employees |
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