Works matching Chi-square distribution
Results: 1922
Refined normal approximations for the central and noncentral chi-square distributions and some applications.
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- Statistics, 2022, v. 56, n. 4, p. 935, doi. 10.1080/02331888.2022.2084544
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Blind Additive Gaussian White Noise Level Estimation from a Single Image by Employing Chi-Square Distribution †.
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- Entropy, 2022, v. 24, n. 11, p. 1518, doi. 10.3390/e24111518
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Chi-Square Distribution-Based Confidence Measure Channel Estimation Method in OFDM Systems.
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- IETE Journal of Research, 2017, v. 63, n. 5, p. 662, doi. 10.1080/03772063.2017.1309999
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Calculation of deception probability of netted radar based on non-central chi-square distribution.
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- International Journal of Distributed Sensor Networks, 2021, v. 17, n. 7, p. 1, doi. 10.1177/15501477211033761
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Denoising algorithm of LJ1-01 nightlight data with hybrid Chi-square distribution.
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- Arabian Journal of Geosciences, 2023, v. 16, n. 10, p. 1, doi. 10.1007/s12517-023-11663-z
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On some characteristics of bivariate chi-square distribution.
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- Statistics, 2012, v. 46, n. 5, p. 577, doi. 10.1080/02331888.2010.543466
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On the Exact Distribution of the Difference Between Two Chi-Square Variables.
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- Bulletin of the Malaysian Mathematical Sciences Society, 2022, v. 45, p. 505, doi. 10.1007/s40840-022-01373-2
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A Powerful Variant-Set Association Test Based on Chi-Square Distribution.
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- Genetics, 2017, v. 207, n. 3, p. 903, doi. 10.1534/genetics.117.300287
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An analysis of energy detector based on improved approximations of the chi-square distributions.
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- EURASIP Journal on Wireless Communications & Networking, 2021, v. 2021, n. 1, p. 1, doi. 10.1186/s13638-021-01915-5
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Chi-Square Approximation for the Distribution of Individual Eigenvalues of a Singular Wishart Matrix.
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- Mathematics (2227-7390), 2024, v. 12, n. 6, p. 921, doi. 10.3390/math12060921
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- Article
Approximation of CDF of Non-Central Chi-Square Distribution by Mean-Value Theorems for Integrals.
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- Mathematics (2227-7390), 2021, v. 9, n. 2, p. 129, doi. 10.3390/math9020129
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An Analog of the Chi-Square Distribution for Normalized Sums with Small Number of Summands.
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- Journal of Mathematical Sciences, 2017, v. 220, n. 6, p. 724, doi. 10.1007/s10958-016-3216-0
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- Article
Spectrum sensing method based on goodness of fit test using chi-square distribution.
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- Electronics Letters (Wiley-Blackwell), 2014, v. 50, n. 9, p. 713, doi. 10.1049/el.2014.0302
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Chi-square tests for generalized exponential AFT distributions with censored data.
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- Electronic Journal of Applied Statistical Analysis, 2016, v. 9, n. 2, p. 371, doi. 10.1285/i20705948v9n2p371
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STIRLING'S FORMULA VIA THE CHI-SQUARE DISTRIBUTION.
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- Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA, 2018, v. 19, n. 2, p. 107, doi. 10.24309/recta.2018.19.2.03
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A survey on multivariate chi-square distributions and their applications in testing multiple hypotheses.
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- Statistics, 2015, v. 49, n. 2, p. 427, doi. 10.1080/02331888.2014.993639
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- Article
A New Parametric Lifetime Distribution with Modified Chi-square Type Test for Right Censored Validation, Characterizations and Different Estimation Methods.
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- Pakistan Journal of Statistics & Operation Research, 2021, v. 17, n. 2, p. 399, doi. 10.18187/pjsor.v17i2.3631
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CSDK: A Chi-square distribution-Kernel method for image de-noising under the Internet of things big data environment.
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- International Journal of Distributed Sensor Networks, 2019, v. 15, n. 5, p. N.PAG, doi. 10.1177/1550147719847133
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- Article
Generalized Entropy Approach for Conserved Systems with Finite Entities: Insights into Non-Gaussian and Non-Chi-Square Distributions using Havrda-Charvát-Tsallis Entropy.
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- International Journal of Theoretical Physics, 2023, v. 62, n. 8, p. 1, doi. 10.1007/s10773-023-05426-5
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IMPROVED TRANSFORMED STATISTICS FOR THE TEST OF ONE FACTOR INDEPENDENCE FROM THE OTHER TWO IN AN R × S × T CONTINGENCY TABLE.
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- Journal of the Japan Statistical Society, 2015, v. 45, n. 1, p. 77, doi. 10.14490/jjss.45.77
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Extremes of independent chi-square random vectors.
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- Extremes, 2012, v. 15, n. 1, p. 35, doi. 10.1007/s10687-010-0125-3
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Goodness-of-Fit Tests for Stationary Gaussian Processes with Tapered Data.
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- Acta Applicandae Mathematicae, 2021, v. 171, n. 1, p. 1, doi. 10.1007/s10440-020-00368-0
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Identification of the Damages and Abnormal Objects in Tibetan Stone Walls Based on GPR Data Analysis.
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- International Journal of Architectural Heritage: Conservation, Analysis & Restoration, 2024, v. 18, n. 7, p. 1097, doi. 10.1080/15583058.2023.2213199
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- Article
Spectrum sensing method based on goodness of fit test using chi‐square distribution.
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- Electronics Letters (Wiley-Blackwell), 2014, v. 50, n. 8, p. 713, doi. 10.1049/el.2014.0302
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- Publication type:
- Article
Analytic Expressions of Some Statistics in Radar Target Recognition Based on Late Time Representation.
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- Applied Computational Electromagnetics Society Journal, 2016, v. 31, n. 8, p. 901
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- Article
Sampling distributions of skew normal populations associated with closed skew normal distributions.
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- Random Operators & Stochastic Equations, 2019, v. 27, n. 2, p. 75, doi. 10.1515/rose-2018-2007
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Permutation Tests for Assessing Potential Non-Linear Associations between Treatment Use and Multivariate Clinical Outcomes.
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- Multivariate Behavioral Research, 2024, v. 59, n. 1, p. 110, doi. 10.1080/00273171.2023.2217662
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What Causes the Mean Bias of the Likelihood Ratio Statistic with Many Variables?
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- Multivariate Behavioral Research, 2019, v. 54, n. 6, p. 840, doi. 10.1080/00273171.2019.1596060
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COMPARISON OF EXTENDED EMPIRICAL LIKELIHOOD METHODS: SIZE AND SHAPE OF TEST-BASED CONFIDENCE REGIONS.
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- Statistica Sinica, 2019, v. 29, n. 1, p. 371, doi. 10.5705/ss.202015.0410
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ON SOME PROPERTIES OF THE QUANTILES OF THE CHI-SQUARE DISTRIBUTION AND THEIR APPLICATIONS TO INTERVAL ESTIMATION.
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- Communications in Statistics: Theory & Methods, 2001, v. 30, n. 8/9, p. 1851, doi. 10.1081/STA-100105701
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A study of chi-square-type distribution with geometrically distributed degrees of freedom in relation to distributions of geometric random sums.
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- Mathematica Slovaca, 2020, v. 70, n. 1, p. 213, doi. 10.1515/ms-2017-0345
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Many-to-one comparison of nonlinear growth curves for Washington's Red Delicious apple.
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- Journal of Applied Statistics, 2012, v. 39, n. 8, p. 1781, doi. 10.1080/02664763.2012.683168
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Holonomic gradient method for distribution function of a weighted sum of noncentral chi-square random variables.
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- Computational Statistics, 2016, v. 31, n. 4, p. 1645, doi. 10.1007/s00180-015-0625-3
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Further Results on the Limiting Distribution of GMM Sample Moment Conditions.
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- Journal of Business & Economic Statistics, 2012, v. 30, n. 4, p. 494, doi. 10.1080/07350015.2012.694743
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Confidence intervals of the process capability index Cpc$C_{pc}$ revisited via modified bootstrap technique and ROC curves.
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- Quality & Reliability Engineering International, 2023, v. 39, n. 6, p. 2162, doi. 10.1002/qre.3317
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Testing for Normality in Geostatistics. A New Approach Based on the Mahalanobis Distance: A discussion on the use of univariate normality tests in this context.
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- Ciencia en Desarrollo, 2022, v. 13, n. 2, p. 99, doi. 10.19053/01217488.v13.n2.2022.13650
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Necessary Sample Size for Estimating the Scale Parameter With Specified Closeness and Confidence.
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- International Journal of Intelligent Technologies & Applied Statistics, 2019, v. 12, n. 1, p. 17, doi. 10.6148/IJITAS.201903_12(1).0002
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Evaluating the Noncentral Chi-Square Distribution for the Cox-Ingersoll-Ross Process.
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- Computational Economics, 2004, v. 24, n. 1, p. 35, doi. 10.1023/B:CSEM.0000038840.58451.c9
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Approximate two-sided tolerance interval for sample variances.
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- Quality Engineering, 2020, v. 32, n. 1, p. 10, doi. 10.1080/08982112.2019.1609687
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Comparison of Risk Ratios of Shrinkage Estimators in High Dimensions.
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- Mathematics (2227-7390), 2022, v. 10, n. 1, p. 52, doi. 10.3390/math10010052
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Confidence Intervals In Three-Way Repeated Measurements Model.
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- Basrah Journal of Science / Magallat Al-Barat Li-L-ulum, 2024, v. 42, n. 2, p. 176, doi. 10.29072/basjs.20240202
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A study of minimax shrinkage estimators dominating the James-Stein estimator under the balanced loss function.
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- Open Mathematics, 2022, v. 20, n. 1, p. 1, doi. 10.1515/math-2022-0008
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On derived estimators from the maximum likelihood estimator: minimaxity and improvement of the James-Stein estimator.
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- Nonlinear Studies, 2022, v. 29, n. 2, p. 615
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On shrinkage estimators improving the James-Stein estimator under balanced loss function.
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- Pakistan Journal of Statistics & Operation Research, 2021, v. 17, n. 3, p. 711, doi. 10.18187/pjsor.v17i3.3663
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New Control Charts for a Multivariate Gamma Distribution.
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- Pakistan Journal of Statistics & Operation Research, 2021, v. 17, n. 3, p. 607, doi. 10.18187/pjsor.v17i3.3157
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On the distribution of sample scale-free scatter matrices.
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- Statistical Papers, 2024, v. 65, n. 1, p. 121, doi. 10.1007/s00362-022-01388-8
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A note on Cochran test for homogeneity in one-way ANOVA and meta-analysis.
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- Statistical Papers, 2014, v. 55, n. 2, p. 301, doi. 10.1007/s00362-012-0475-9
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The Effects of Data Distribution on the Confidence Interval of the Number of Projected Items.
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- Pertanika Journal of Science & Technology, 2011, v. 19, n. 2, p. 285
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DETERMINING THE SIGNAL DIMENSION IN SECOND ORDER SOURCE SEPARATION.
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- Statistica Sinica, 2021, v. 31, n. 1, p. 135, doi. 10.5705/ss.202018.0347
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TEST STATISTIC FOR COMBINED TREATMENT CONTRAST UNDER HETEROGENEOUS ERROR VARIANCES AND LATIN SQUARE DESIGN.
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- Pakistan Journal of Statistics, 2014, v. 30, n. 3, p. 345
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