Gaussian probability density function
Robust Scale Estimation for the Generalized Gaussian Probability Density Function
... However, in most applications, the scale parameter cannot be inferred, and needs to be estimated in parallel to θ with a much lower breakdown than 50%. Recently several strate- gies involving nonparametric ...
17
A Multivariate Student’s t Distribution
... Abstract A multivariate Student’s t-distribution is derived by analogy to the derivation of a multivariate normal Gaussian probability density function.. This multivariate Student’s t-di[r] ...
8
A Modeling Approach for Mobile Monitoring and Supervisory Control Development based on Open-source Programming
... Abstract—This paper presents a particle filter approach to localize a container truck system using indoor global positioning system (iGPS), radio frequency identification (RFID) and inertial measurement unit (IMU) that ...
6
Track before Detect Algorithm Based on Gaussian Particle Cardinalized Probability Hypothesis Density
... by probability hypothesis density (PHD) filtering and cardinalized probability hypothesis density (CPHD) filtering ...the Gaussian particle filter (GPF) is proposed to approximate the ...
7
A refined statistical cloud closure using double-Gaussian probability density functions
... a probability density function (PDF)-based scheme to parameterize cloud fraction, average liquid water and liquid water flux in large-scale models, that is developed from and tested against ...
17
An Emotion Recognition System based on Right Truncated Gaussian Mixture Model
... Truncated Gaussian Mixture ...the Probability Density Function (PDF) values of the Right Truncated Gaussian mixture are generated, the test signal is considered and the PDF values of ...
5
Adaptive linear filtering design with minimum symbol error probability criterion
... Abstract: Adaptive digital filtering has traditionally been developed based on the minimum mean square error (MMSE) criterion and has found ever-increasing applications in communications. This paper presents an ...
13
Fuzzy Bayesian Classification of LR Fuzzy Numbers
... Likelihood density function is computed as the weighted sum of the likelihoods for all of fuzzy ...conditional probability of the fuzzy values and the size of the fuzzy set intervals, the shape of ...
9
A generalized beta function and associated probability density
... The probability density ...gamma function, and then used them to define some ...hypergeometric function to study a new pdf Ismail Ali et ...hypergeometric function to define and study a ...
12
Statistical Distribution of the Layered Rough Surface Index (LRSI)
... the probability density function (PDF) of the co- and cross-polarized intensity ratio in any observation direction for the field scattered from three- dimensional layered structures with an arbitrary ...
13
A new analysis for finding the optimum power rating of low voltage distribution power electronics based on statistics and probabilities
... the Gaussian distribution by creating sampling from the given set of ...estimated probability density cluster obtained from EM algorithm when the substation phase voltage is selected to be ...single ...
10
STUDY OF SPI FRAMEWORK FOR CMMI CONTINUOUS MODEL BASED ON QFD
... Optimal probability density function control for NARMAX stochastic systems([12]), online estimation algorithm for the unknown probability density functions of random parameters in ...
11
Probability Hypothesis Density Filter Based on Gaussian-Hermite Numerical Integration
... presents the particle PHD (P-PHD) filter, also known as sequential Monte Carlo PHD (SMC-PHD). The algorithm uses a large number of particles and weights to approximate the nonlinear transformation of random variables. It ...
7
A Novel Framework to Produce Statistically Accurate GRNs by Using CLT
... ABSTRACT: Gaussian random numbers (GRNs) generated by Central Limit Theorem (CLT)) be afflicted by errors because of deviation from perfect Gaussian behavior for any finite range of ...consequent ...
6
An Algorithm for Generating Random Numbers with Normal Distribution
... or Gaussian distribution for n = 2 , n = 3 , and n = 20 starting with a uniform initial distribution in the interval [ ) 0,1 ...corresponding probability density function for a normal ...
11
Wireless Sensor Network Factor Information Control Based on Genetic Algorithm
... objective function Number of standardization, the establishment of a new fitness function, and proposes a dynamic allocation weighting scheme, designed a new weight-based allocation strategy Multi-objective ...
9
DNA Fragmentation Pattern and its Application in DNA Sample Type Classification
... k-NN (k-nearest neighbors algorithm) is a non-parametric method, where the function is only approximated locally. The k-NN algorithm is the easiest of all machine learning algorithms for classification, It is a ...
5
A Probability Density Function Generator Based on Deep Learning
... as activation functions in the hidden layers of the proposed deep learning model for learning actual.. 151[r] ...
7
The Bayesian approach to statistics : a review of methodology with selected applications : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Statistics at Massey University
... Bayes Theorem in terms of probability density functions.. variable X, and its probability density function depends on the value of.[r] ...
22
THE DISTRIBUTION OF THE SUM OF MIXED INDEPENDENT RANDOM VARIABLES PERTAINING TO SPECIAL FUNCTIONS
... The importance of our result lies in its manifold generality. In view of the generality of the H-function and the general class of polynomials, on specializing the various parameters in the H-function and ...
6