Method of Moments Estimation | Negative Binomial Distribution скачать в хорошем качестве

Method of Moments Estimation | Negative Binomial Distribution

This video explains the Negative Binomial Distribution and demonstrate how to use the Method of Moments to estimate its parameters. I showed, how to derive the estimates for the mean and variance of the Negative Binomial distribution using the Method of Moment, A step-by-step walkthrough of the estimation process, using Method of Moment Estimation. I explained the difference between the Population Mean and Sample Mean and showed how they can be used during Estimation of Parameters Using Method of Moments. The Method of Moments is a classic technique in statistics where we match sample moments (such as sample mean and variance) to the theoretical moments of the distribution to estimate the parameters. Whether you're a student of statistics, a data analyst, or someone looking to deepen your understanding of parameter estimation techniques, this tutorial will guide you through the essential concepts and give you practical insight into how to apply the Method of Moments to the Negative Binomial Distribution. Watch this video till the end. Don't forget to Subscribe, like, and hit the notification bell for more content on Method of Moment, statistical methods, probability theory, and data analysis! Need a Tutor/Assistance? Join our WhatsApp group, link below: https://l1nk.dev/8KNNf Send a Message on WhatsApp http://wa.me/+2348035415248 https://wa.me/+2348023548354 Subscriber Link https://rb.gy/ewtolh TikTok   / content_academy   #Statistics #NegativeBinomial #MethodOfMoments #StatisticalAnalysis #ParameterEstimation #DataScience #Probability #binomial