Research Article | 27-December-2017
In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for use in power control of mobile device and base station. The methods are validated and compared to existing methods, Kalman Filter (KF) with
George P. Pappas,
Mohamed A. Zohdy
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 2, 898–924
Research Article | 13-December-2017
A type of parameter estimation technique based on the linear integral filter (LIF) method, the least-absolute error with variable forgetting factor (LAE+VFF) estimation method, is proposed in this paper to estimate the railway wheelset parameters modelled as a time-varying continuous-time (C-T) system. The inputs to the parameter estimator are the control signal and the railway wheelset system output, which is the wheelset’s lateral velocity. The algorithm includes an instrumental variable (IV
H. Selamat,
A. J. Alimin,
Y. M. Sam
International Journal on Smart Sensing and Intelligent Systems, Volume 1 , ISSUE 3, 754–770
Article | 01-June-2015
can be detected. Then, with the analysis of particle filtering and traditional Cam-shift algorithm, we introduce a new human body tracking method that is able to choose the target automatically due to the detection result. On the basis of the detection and tracking results, the algorithm of motion parameter estimation is analyzed. Finally, a set of human body detection and tracking experiments are designed to demonstrate the effectiveness of the proposed algorithms.
Jiude Li
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1104–1122
Article | 01-June-2020
Barndorff-Nielsen and Shephard (2001) proposed a class of stochastic volatility models in which the volatility follows the Ornstein–Uhlenbeck process driven by a positive Levy process without the Gaussian component. The parameter estimation of these models is challenging because the likelihood function is not available in a closed-form expression. A large number of estimation techniques have been proposed, mainly based on Bayesian inference. The main aim of the paper is to present an
Piotr Szczepocki
Statistics in Transition New Series, Volume 21 , ISSUE 2, 173–187
Article | 06-July-2017
Muhammad Shuaib Khan,
Robert King,
Irene Lena Hudson
Statistics in Transition New Series, Volume 17 , ISSUE 2, 183–210
Article | 05-September-2021
The article presents a new probability distribution, created by compounding the Poisson distribution with the weighted exponential distribution. Important mathematical and statistical properties of the distribution have been derived and discussed. The paper describes the proposed model’s parameter estimation, performed by means of the maximum likelihood method. Finally, real data sets are analyzed to verify the suitability of the proposed distribution in modeling count data sets
Showkat Ahmad Dar,
Anwar Hassan,
Ahmad Para Bilal,
Sameer Ahmad Wani
Statistics in Transition New Series, Volume 22 , ISSUE 3, 157–174
Article | 20-September-2020
A new over-dispersed discrete probability model is introduced, by compounding the Poisson distribution with the weighted Ishita distribution. The statistical properties of the newly introduced distribution have been derived and discussed. Parameter estimation has been done with the application of the maximum likelihood method of estimation, followed by the Monte Carlo simulation procedure to examine the suitability of the ML estimators. In order to verify the applicability of the proposed
Bilal Ahmad Para,
Tariq Rashid Jan
Statistics in Transition New Series, Volume 21 , ISSUE 3, 171–184
Article | 03-November-2017
In this paper, the problem of modeling, output feedback control design and the experimental implementation for the vibration control of smart cantilever beam with parameter uncertainties represented in interval form is addressed. The interval model of the system is obtained by introducing variation in the parameter of the identified model. However, Uncertainties are assumed in the model, identified through on line recursive least square parameter estimation. The control and identification
S. Neduncheliyan,
M. Umapathy,
D. Ezhilarasi
International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 417–431
Research Article | 08-December-2021
The paper proposes a new family of continuous distributions called the extended odd half Cauchy-G. It is based on the T − X construction of Alzaatreh et al. (2013) by consider ing half Cauchy distribution for T and the exponentiated G(x;ξ) as the distribution of X. Several particular cases are outlined and a number of important statistical characteristics of this family are investigated. Parameter estimation via several methods, including maximum likelihood, is discussed and followed
Subrata Chakraburty,
Morad Alizadeh,
Laba Handique,
Emrah Altun,
G. G. Hamedani
Statistics in Transition New Series, Volume 22 , ISSUE 4, 77–100
Article | 13-December-2019
, we developed a linear Cholesky decomposition of the random effects covariance matrix, providing a framework for inference that accounts for correlations induced by covariate(s) shared by both fixed and random effects design matrices, a circumstance leading to lack of independence between random errors and random effects. The proposed decomposition is particularly useful in parameter estimation using the maximum likelihood and restricted/residual maximum likelihood procedures.
Anasu Rabe,
D. K. Shangodoyin,
K. Thaga
Statistics in Transition New Series, Volume 20 , ISSUE 4, 59–70
Article | 06-July-2017
and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial
Jan Kubacki,
Alina Jędrzejczak
Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390
Research Article | 20-February-2013
Electro-hydraulic servo actuator (EHA) system consists of several dynamic parts which are widely used in motion control application. These dynamic parts need to be controlled to determine direction of the motion. In this research paper, system identification technique is used for system modeling and the model of the system is estimated by using parameter estimation technique. This process started with collection of input and output data from experimental procedure. The data collected is used
J. Micheal,
M.F. Rahmat,
N. Abdul Wahab,
W.K. Lai
International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 155–170