Results 41 to 50 of about 388,737 (200)

A procedure for the change point problem in parametric models based on phi-divergence test-statistics

, 2011
This paper studies the change point problem for a general parametric, univariate or multivariate family of distributions. An information theoretic procedure is developed which is based on general divergence measures for testing the hypothesis of the ...
A Estrella, A. Batsidis, AN Pettitt, D Morales, D Siegmund, DL Hawkins, DM Long De, E Gombay, J Chen, J Chen, J Chen, J Chen, JR Dale, K. Zografos, KJ Worsley, L Horváth, L Pardo, L. Pardo, LJ Vostrikova, M Csörgö, MS Srivastava, N Cressie, N Martin, N. Martín, P Haccou, PK Sen, PK Sen, TRC Read, TY Yang   +28 more
core   +1 more source

Testing the martingale difference hypothesis using integrated regression functions [PDF]

, 2006
An omnibus test for testing a generalized version of the martingale difference hypothesis (MDH) is proposed. This generalized hypothesis includes the usual MDH, testing for conditional moments constancy such as conditional homoscedasticity (ARCH effects)
Escanciano, Juan Carlos, Velasco, Carlos
core   +3 more sources

THE EFFECT OF DIFFERENTIATED LEARNING STRATEGIES ON ENHANCEMENT OF PKN CONCEPTS IN STUDENTS IN CLASS IV PRIMARY SCHOOL / PENGARUH STRATEGI PEMBELAJARAN BERDIFERENSIASI TERHADAP PENINGKATAN PEMAHAMAN KONSEP PKN SISWA KELAS IV SEKOLAH DASAR

Al-Mudarris
The purpose of this study is to determine the effects of using differentiating teaching strategies on students' understanding of concept knowledge in PKN IV classrooms at SDN Pelandakan 2 Kota Cirebon.
Siti Nurlaela sari, Siti Nurlaela Sari, Ahmad Arifuddin, Heru Mudiyanto   +3 more
doaj   +1 more source

On asymptotically distribution free tests with parametric hypothesis for ergodic diffusion processes [PDF]

Statistical Inference for Stochastic Processes, 2014
We consider the problem of the construction of the asymptotically distribution free test by the observations of ergodic diffusion process. It is supposedd that under the basic hypothesis the trend coefficient depends on the finite dimensional parameter and we study the Cramer-von Mises type statistics. The underlying statistics depends on the deviation
Kleptsyna, Marina, Kutoyants, Yu. A.
openaire   +2 more sources

Non-hypothetical projection pursuit regression for the prediction of hydration heat of Portland-cement-based cementitious system

Heliyon, 2023
In this study, the non-hypothetical projection pursuit regression (NH-PPR) is proposed. The proposed NH-PPR model can predict the hydration heat based on the four cement phases, FA, SL, cement fineness and hydration time.
Can Qin, Jingwei Gong, Gangchuan Xie, Jianxin He, Liang Liu, Haihua Yang, Chuanling Deng   +6 more
doaj   +1 more source

Information Theoretic Structure Learning with Confidence

, 2016
Information theoretic measures (e.g. the Kullback Liebler divergence and Shannon mutual information) have been used for exploring possibly nonlinear multivariate dependencies in high dimension.
Hero III, Alfred O., Moon, Kevin R., Noshad, Morteza, Sekeh, Salimeh Yasaei   +3 more
core   +1 more source

Real-Time Detection and Classification of Power Quality Disturbances

Sensors, 2022
This paper considers the problem of real-time detection and classification of power quality disturbances in power delivery systems. We propose a sequential and multivariate disturbance detection method (aiming for quick and accurate detection).
Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz   +2 more
doaj   +1 more source

Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions [PDF]

, 2013
This work is motivated by a study of a population of multiple sclerosis (MS) patients using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to identify active brain lesions.
Crainiceanu, Ciprian M., Liu, Han, Reich, Daniel S., Shinohara, Russell T., Shou, Haochang   +4 more
core   +2 more sources

Robust Bounded Influence Tests for Independent Non-Homogeneous Observations

, 2017
Experiments often yield non-identically distributed data for statistical analysis. Tests of hypothesis under such set-ups are generally performed using the likelihood ratio test, which is non-robust with respect to outliers and model misspecification. In
Basu, Ayanendranath, Ghosh, Abhik
core   +1 more source

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

Communications in Statistics - Simulation and Computation, 2023
In this paper, we proposed a parametric hypothesis test of the multiplicative distortion model under the exponentially distributed but unobserved random variable. The unobservable variable is distorted in a multiplicative fashion by an observed confounding variable. Firstly, some new test statistics are proposed to checking the exponential distribution
Yujie Gai, Jun Zhang, Yue Zhou
openaire   +1 more source