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2. Estimated date of delivery - Wikipedia

   en.wikipedia.org/wiki/Estimated_date_of_delivery

   The estimated date of delivery ( EDD ), also known as expected date of confinement, [1] and estimated due date or simply due date, is a term describing the estimated delivery date for a pregnant woman. [2] Normal pregnancies last between 38 and 42 weeks. [3] Children are delivered on their expected due date about 4% of the time.

3. When Are Taxes Due for 2021? Tax Year Dates You Need To Know

   www.aol.com/finance/taxes-due-2021-tax-dates...

   Important 2021 Tax Due Dates for Individuals. Jan. 15, 2021. If you are required to make estimated tax payments, your payment for the fourth quarter of tax year 2020 is due on this date.

4. Tax Deadline and Tax Due Dates for Your 2023 Taxes - AOL

   www.aol.com/finance/tax-deadline-tax-due-dates...

   Jan. 16, 2024. If you pay your taxes quarterly this was the due date for your estimated tax payments for the 4th quarter. This includes income you earned from Sept. 1 through Dec. 31, 2023. Jan ...

5. When Is the 2023-2024 Tax Season? Dates You Need To Know - AOL

   www.aol.com/2023-2024-tax-season-dates-194619825...

   Tax Dates. Important Deadlines. Jan. 16, 2024. The due date for quarterly taxpayers. This is for your estimated tax payments for the 4th quarter. This includes income you earned from Sept. 1 ...

6. Three-point estimation - Wikipedia

   en.wikipedia.org/wiki/Three-point_estimation

   These values are used to calculate an E value for the estimate and a standard deviation (SD) as L-estimators, where: E = (a + 4m + b) / 6 SD = (b − a) / 6. E is a weighted average which takes into account both the most optimistic and most pessimistic estimates provided. SD measures the variability or uncertainty in the estimate.

7. Method of moments (statistics) - Wikipedia

   en.wikipedia.org/wiki/Method_of_moments_(statistics)

   In statistics, the method of moments is a method of estimation of population parameters. The same principle is used to derive higher moments like skewness and kurtosis. It starts by expressing the population moments (i.e., the expected values of powers of the random variable under consideration) as functions of the parameters of interest.