Estimation of the Mean and Variance of a Univariate Normal Distribution Using Least-Squares via the Differential and Integral Techniques (original) (raw)
Related papers
On the Estimation of a Univariate Gaussian Distribution: A Comparative Approach
Cliff Richard Kikawa, P.H. Kloppers, Andrew Mkolesia, Michael Shatalov, cliff kikawa
A Comparison of Maximum Likelihood and Moment Methods in Parameters Estimation
Communications in Statistics - Theory and Methods, 2021
Comparison among Some Methods for Estimating the Parameters of Truncated Normal Distribution
Journal of Advances in Mathematics, 2021
An EM type algorithm for maximum likelihood estimation of the normal-inverse Gaussian distribution
Statistics & probability letters, 2002
A Bayesian perspective on estimating mean, variance, and standard-deviation from data
2006
2008
TEST
Estimation of probability density and distribution functions
IEEE Transactions on Information Theory, 1968
2016
Least Squares Method of Estimation Using Bernstein Polynomials for Density Estimation
A New High Accuracy Mathematical Approximation to the Cumulative Normal Density Function
2020
Intrinsic point estimation of the normal variance
A Treatise on Ordinary Least Squares Estimation of Parameters of Linear Model
International Journal of Engineering & Technology, 2018
Variance Component Estimation by the Method of Least-Squares
International Association of Geodesy Symposia
Discussiones Mathematicae Probability and Statistics
Comparison of Methods for the Reconstruction of Probability Density Functions from Data Samples
ForsChem Research Reports, 2018
Likelihood Based Inference and Bias Reduction in the Modified Skew-t-Normal Distribution
Mathematics
The Application of Fisher Scoring Algorithm on Parameter Estimation of Normal Distributed Data
Journal of Research in Mathematics Trends and Technology, 2021
EMM: A Program for Efficient Method of Moments Estimation. Version 1.1. User's Guide
1995
A method for estimating the parameters of the K distribution
1999
Performance analysis of parameter estimation algorithms based on high-order moments
International Journal of Adaptive Control and Signal Processing, 1989
On Asymptotic Mean Integrated Squared Error’s Reduction Techniques in Kernel Density Estimation
International Journal of Computational and Theoretical Statistics, 2019
A new extended normal regression model: simulations and applications
Journal of Statistical Distributions and Applications, 2019
Improved Estimation of Population Variance Utilizing Known Auxiliary Parameters
Scholars Journal of Physics, Mathematics and Statistics
The Effect of Estimating the Shape Parameter on Probability Distributions Using the Moment Method
Journal of natural sciences, life and applied sciences, 2018
Handbook of the Normal Distribution (Statistics, a Series of Textbooks and Monographs
A new algorithm for the normal distribution function
Test, 1997
Parameter Estimation of Power Function Distribution with TL-moments
Revista Colombiana de Estadística, 2015
The gamma-normal distribution: Properties and applications
Computational Statistics & Data Analysis, 2014
Estimation of second order parameters using probability weighted moments
ESAIM: Probability and Statistics, 2012