Statistical applications of the multivariate skew normal distribution
Abstract
Azzalini and Dalla Valle have recently discussed the multivariate skew normal distribution which extends the class of normal distributions by the addition of a shape parameter. The first part of the present paper examines further probabilistic properties of the distribution, with special emphasis on aspects of statistical relevance. Inferential and other statistical issues are discussed in the following part, with applications to some multivariate statistics problems, illustrated by numerical examples. Finally, a further extension is described which introduces a skewing factor of an elliptical density.
Citing Literature
Number of times cited according to CrossRef: 598
- Ziwei Ma, Tonghui Wang, Baokun Li, Xiaonan Zhu, Yuede Ma, The Decomposition of Quadratic Forms Under Matrix Variate Skew-Normal Distribution, Behavioral Predictive Modeling in Economics, 10.1007/978-3-030-49728-6_12, (181-194), (2021).
- Mehrdad Naderi, Farzane Hashemi, Andriette Bekker, Ahad Jamalizadeh, Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum–Saunders mixture model, Applied Mathematics and Computation, 10.1016/j.amc.2020.125109, 376, (125109), (2020).
- Jeongmun Jeong, Younshik Chung, Bayesian inference for an ordered multiple linear regression with skew normal errors, Communications for Statistical Applications and Methods, 10.29220/CSAM.2020.27.2.189, 27, 2, (189-199), (2020).
- Vishal Ramnath, Analysis of approximations of GUM supplement 2 based non-Gaussian PDFs of measurement models with Rosenblatt Gaussian transformation mappings, International Journal of Metrology and Quality Engineering, 10.1051/ijmqe/2019018, 11, (2), (2020).
- Lixin Ren, Traci Shizu Kutaka, Pavel Chernyavskiy, Jieqiong Fan, Xuan Li, The Linear and Nonlinear Effects of Organized Extracurricular Activities on Chinese Preschoolers’ Development, Contemporary Educational Psychology, 10.1016/j.cedpsych.2020.101845, (101845), (2020).
- Su-Fen Yang, Lijuan Shen, Loss-Based Control Charts for Monitoring Non-Normal Process Data, IEEE Access, 10.1109/ACCESS.2020.2989400, 8, (91163-91169), (2020).
- Wan‐Lun Wang, Bayesian analysis of multivariate linear mixed models with censored and intermittent missing responses, Statistics in Medicine, 10.1002/sim.8554, 39, 19, (2518-2535), (2020).
- Mohamed Turki, Hamden Zahrani, Meriem Ayadi, Monem Kallel, Jalel Bouzid, Predicting of proactive environmental management for unhairing wastewater treatment in Tunisia using neural network learning algorithms, Management of Environmental Quality: An International Journal, 10.1108/MEQ-12-2019-0281, ahead-of-print, ahead-of-print, (2020).
- Sheng Wang, Dale L. Zimmerman, Patrick Breheny, Sparsity-regularized skewness estimation for the multivariate skew normal and multivariate skew distributions , Journal of Multivariate Analysis, 10.1016/j.jmva.2020.104639, (104639), (2020).
- Mehdi Amiri, Salman Izadkhah, Ahad Jamalizadeh, Linear orderings of the scale mixtures of the multivariate skew-normal distribution, Journal of Multivariate Analysis, 10.1016/j.jmva.2020.104647, (104647), (2020).
- Xingyun Cao, Gege Wang, Liucang Wu, Skew-normal median regression model with applications, Journal of Physics: Conference Series, 10.1088/1742-6596/1616/1/012079, 1616, (012079), (2020).
- E. Gómez–Déniz, E. Calderín-Ojeda, On the Usefulness of the Logarithmic Skew Normal Distribution for Describing Claims Size Data, Mathematical Problems in Engineering, 10.1155/2020/1420618, 2020, (1-9), (2020).
- Massimiliano Giacalone, A combined method based on kurtosis indexes for estimating p in non-linear Lp-norm regression, Sustainable Futures, 10.1016/j.sftr.2020.100008, (100008), (2020).
- Yuxiao Li, Ying Sun, A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution, Spatial Statistics, 10.1016/j.spasta.2020.100474, (100474), (2020).
- Chris Adcock, Adelchi Azzalini, A Selective Overview of Skew-Elliptical and Related Distributions and of Their Applications, Symmetry, 10.3390/sym12010118, 12, 1, (118), (2020).
- Fatemeh Ghaderinezhad, Christophe Ley, Nicola Loperfido, Bayesian Inference for Skew-Symmetric Distributions, Symmetry, 10.3390/sym12040491, 12, 4, (491), (2020).
- Zhihua Ma, Guanghui Chen, Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data, Statistical Modelling, 10.1177/1471082X19896688, (1471082X1989668), (2020).
- Lucia Zanotto, Vladimir Canudas-Romo, Stefano Mazzuco, A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality, European Journal of Population, 10.1007/s10680-019-09552-x, (2020).
- Dariush Jamali, Mehdi Amiri, Ahad Jamalizadeh, Comparison of the multivariate skew-normal random vectors based on the integral stochastic ordering, Communications in Statistics - Theory and Methods, 10.1080/03610926.2020.1740934, (1-13), (2020).
- Esmat Jamshidi Eini, Hamid Khaloozadeh, Tail variance for Generalized Skew-Elliptical distributions, Communications in Statistics - Theory and Methods, 10.1080/03610926.2020.1751853, (1-18), (2020).
- Parisa Hasanalipour, Mostafa Razmkhah, Testing skew-symmetry based on extreme ranked set sampling, Statistical Papers, 10.1007/s00362-020-01183-3, (2020).
- Getachew A. Dagne, Bayesian Quantile Bent-Cable Growth Models for Longitudinal Data with Skewness and Detection Limit, Statistics in Biosciences, 10.1007/s12561-020-09287-y, (2020).
- Jorge M. Arevalillo, Hilario Navarro, Data projections by skewness maximization under scale mixtures of skew-normal vectors, Advances in Data Analysis and Classification, 10.1007/s11634-020-00388-6, (2020).
- Hyejeong Choi, Johan Lim, Donghyeon Yu, Minjung Kwak, Two-sample tests for interval-valued data, Journal of the Korean Statistical Society, 10.1007/s42952-020-00071-8, (2020).
- Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Jing Liu, Inferences on location parameter in multivariate skew-normal family with unknown scale parameter, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2020.1772300, (1-17), (2020).
- B. Beranger, A. G. Stephenson, S. A. Sisson, High-dimensional inference using the extremal skew-t process, Extremes, 10.1007/s10687-020-00376-1, (2020).
- Sreenivasa Rao Jammalamadaka, Emanuele Taufer, Gyorgy H. Terdik, On Multivariate Skewness and Kurtosis, Sankhya A, 10.1007/s13171-020-00211-6, (2020).
- Fereshte Kahrari, Reinaldo Boris Arellano-Valle, Clecio da Silva Ferreira, Diego Gallardo, Some simulation/computation in multivariate linear models of scale mixtures of skew-normal-Cauchy distributions, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2020.1804582, (1-16), (2020).
- F. Prataviera, A. M. Batista, P. L. Libardi, G. M. Cordeiro, E. M. M. Ortega, Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data , Journal of Applied Statistics, 10.1080/02664763.2020.1801608, (1-19), (2020).
- Guillermo Martínez-Flórez, Roger Tovar-Falón, Héctor W. Gómez, Bivariate Power-Skew-Elliptical Distribution, Symmetry, 10.3390/sym12081327, 12, 8, (1327), (2020).
- Emmanuele Peluso, Teddy Craciunescu, Andrea Murari, A Refinement of Recurrence Analysis to Determine the Time Delay of Causality in Presence of External Perturbations, Entropy, 10.3390/e22080865, 22, 8, (865), (2020).
- Mehdi Amiri, Narayanaswamy Balakrishnan, Ahad Jamalizadeh, STOCHASTIC ORDERING OF LIFETIMES OF PARALLEL AND SERIES SYSTEMS COMPRISING HETEROGENEOUS DEPENDENT COMPONENTS WITH GENERALIZED BIRNBAUM-SAUNDERS DISTRIBUTIONS, Probability in the Engineering and Informational Sciences, 10.1017/S0269964820000418, (1-17), (2020).
- Nader Najar, Mohammad Q. Vahidi Asl, Abdollah Jalilian, Neyman-Scott process with skew-normal clusters, Communications in Statistics - Theory and Methods, 10.1080/03610926.2020.1819324, (1-20), (2020).
- Clécio S. Ferreira, Heleno Bolfarine, Víctor H. Lachos, Linear mixed models based on skew scale mixtures of normal distributions, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2020.1827265, (1-21), (2020).
- Guillermo Martínez-Flórez, Carlos Barrera-Causil, Fernando Marmolejo-Ramos, The Exponential-Centred Skew-Normal Distribution, Symmetry, 10.3390/sym12071140, 12, 7, (1140), (2020).
- Mohammad Mahdi Maghami, Mohammad Bahrami, Farkhondeh Alsadat Sajadi, On bias reduction estimators of skew-normal and skew-t distributions, Journal of Applied Statistics, 10.1080/02664763.2019.1710114, (1-23), (2020).
- Jing Xu, Dipankar Bandyopadhyay, Sedigheh Mirzaei Salehabadi, Bryan Michalowicz, Bibhas Chakraborty, SMARTp: A SMART design for nonsurgical treatments of chronic periodontitis with spatially referenced and nonrandomly missing skewed outcomes, Biometrical Journal, 10.1002/bimj.201900027, 62, 2, (282-310), (2019).
- Phontita Thiuthad, Nabendu Pal, Point Estimation of the Location Parameter of a Skew-Normal Distribution: Some Fixed Sample and Asymptotic Results, Journal of Statistical Theory and Practice, 10.1007/s42519-018-0033-4, 13, 2, (2019).
- Ziwei Ma, Ying-Ju Chen, Tonghui Wang, Wuzhen Peng, The Inference on the Location Parameters Under Multivariate Skew Normal Settings, Beyond Traditional Probabilistic Methods in Economics, 10.1007/978-3-030-04200-4_11, (146-162), (2019).
- Zheng Wei, Seongyong Kim, Boseung Choi, Daeyoung Kim, Multivariate Skew Normal Copula for Asymmetric Dependence: Estimation and Application, International Journal of Information Technology & Decision Making, 10.1142/S021962201750047X, 18, 01, (365-387), (2019).
- Wan-Lun Wang, Luis M. Castro, Victor H. Lachos, Tsung-I Lin, Model-based clustering of censored data via mixtures of factor analyzers, Computational Statistics & Data Analysis, 10.1016/j.csda.2019.06.001, (2019).
- Irène Gijbels, Rezaul Karim, Anneleen Verhasselt, On Quantile‐based Asymmetric Family of Distributions: Properties and Inference, International Statistical Review, 10.1111/insr.12324, 87, 3, (471-504), (2019).
- Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery, , Model-Based Clustering and Classification for Data Science, 10.1017/9781108644181, (2019).
- Shantanu Jain, Michael Levine, Predrag Radivojac, Michael W. Trosset, Identifiability of two‐component skew normal mixtures with one known component, Scandinavian Journal of Statistics, 10.1111/sjos.12377, 46, 4, (955-986), (2019).
- Nhat Ho, XuanLong Nguyen, Singularity Structures and Impacts on Parameter Estimation in Finite Mixtures of Distributions, SIAM Journal on Mathematics of Data Science, 10.1137/18M122947X, 1, 4, (730-758), (2019).
- Chung‐I Li, Tzong‐Ru Tsai, Linear profiles monitoring in the presence of nonnormal random errors, Quality and Reliability Engineering International, 10.1002/qre.2543, 35, 8, (2579-2592), (2019).
- Mehmet Turkoz, Sangahn Kim, Youngdoo Son, Myong K. Jeong, Elsayed A. Elsayed, GENERALIZED SUPPORT VECTOR DATA DESCRIPTION FOR ANOMALY DETECTION, Pattern Recognition, 10.1016/j.patcog.2019.107119, (107119), (2019).
- M.T. Alodat, Mohammed K. Shakhatreh, Gaussian process regression with skewed errors, Journal of Computational and Applied Mathematics, 10.1016/j.cam.2019.112665, (112665), (2019).
- Ren-dao Ye, Li-jun Xu, Kun Luo, Ling Jiang, A parametric bootstrap approach for one-way classification model with skew-normal random effects, Applied Mathematics-A Journal of Chinese Universities, 10.1007/s11766-019-3564-x, 34, 4, (423-435), (2019).
- Songhua Hao, Jun Yang, Christophe Berenguer, Degradation analysis based on an extended inverse Gaussian process model with skew-normal random effects and measurement errors, Reliability Engineering & System Safety, 10.1016/j.ress.2019.04.031, 189, (261-270), (2019).
- Reinaldo B. Arellano-Valle, Adelchi Azzalini, Clécio S. Ferreira, Karol Santoro, A two-piece normal measurement error model, Computational Statistics & Data Analysis, 10.1016/j.csda.2019.106863, (106863), (2019).
- Xiaonan Zhu, Baokun Li, Tonghui Wang, Arjun K. Gupta, Sampling distributions of skew normal populations associated with closed skew normal distributions, Random Operators and Stochastic Equations, 10.1515/rose-2018-2007, 0, 0, (2019).
- Yulia V. Marchenko, Marc G. Genton, A Suite of Commands for Fitting the Skew-normal and Skew-t models, The Stata Journal: Promoting communications on statistics and Stata, 10.1177/1536867X1101000401, 10, 4, (507-539), (2019).
- Mariusz Tarnopolski, Analysis of the Duration–Hardness Ratio Plane of Gamma-Ray Bursts Using Skewed Distributions, The Astrophysical Journal, 10.3847/1538-4357/aaf1c5, 870, 2, (105), (2019).
- Hisayuki Tsukuma, Tatsuya Kubokawa, Estimation of a covariance matrix in multivariate skew-normal distribution, Communications in Statistics - Theory and Methods, 10.1080/03610926.2018.1554137, (1-27), (2019).
- Mohammad Reza Ghalani, Mohammad Reza Zadkarami, Investigation of covariance structures in modelling longitudinal ordinal responses with skew normal random effect, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2018.1554113, (1-16), (2019).
- Xudan Chen, Xinli Sun, Xiong Ding, Jue Tang, The inverse Gaussian process with a skew-normal distribution as a degradation model, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2018.1527351, (1-17), (2019).
- Phil D. Young, Joshua D. Patrick, John A. Ramey, Dean M. Young, An Alternative Matrix Skew-Normal Random Matrix and Some Properties, Sankhya A, 10.1007/s13171-019-00165-4, (2019).
- Anderson Ara, Francisco Louzada, The Multivariate Alpha Skew Gaussian Distribution, Bulletin of the Brazilian Mathematical Society, New Series, 10.1007/s00574-018-00130-z, (2019).
- Zhihua Ma, Guanghui Chen, Bayesian semiparametric latent variable model with DP prior for joint analysis: Implementation with nimble, Statistical Modelling, 10.1177/1471082X18810118, (1471082X1881011), (2019).
- Tatsuya Kubokawa, William E. Strawderman, Ryota Yuasa, Shrinkage estimation of location parameters in a multivariate skew-normal distribution, Communications in Statistics - Theory and Methods, 10.1080/03610926.2019.1568481, (1-17), (2019).
- Tatsuhiko Tsujino, Tatsuya Kubokawa, Empirical Bayes methods in nested error regression models with skew-normal errors, Japanese Journal of Statistics and Data Science, 10.1007/s42081-019-00038-y, (2019).
- Mohsen Maleki, Darren Wraith, Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework, Computational Statistics, 10.1007/s00180-019-00870-6, (2019).
- Fatma Zehra Doğru, Keming Yu, Olcay Arslan, Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions, Journal of Statistical Computation and Simulation, 10.1080/00949655.2019.1658111, (1-28), (2019).
- Cong Wang, Tonghui Wang, David Trafimow, Hunter A. Myüz, Necessary sample sizes for specified closeness and confidence of matched data under the skew normal setting, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2019.1661473, (1-12), (2019).
- Slađana Babić, Christophe Ley, David Veredas, Comparison and Classification of Flexible Distributions for Multivariate Skew and Heavy-Tailed Data, Symmetry, 10.3390/sym11101216, 11, 10, (1216), (2019).
- Yanxin Liu, Johnny Siu-Hang Li, An Efficient Method for Mitigating Longevity Value-at-Risk, North American Actuarial Journal, 10.1080/10920277.2019.1658607, (1-32), (2019).
- T. Manouchehri, A. R. Nematollahi, Periodic autoregressive models with closed skew-normal innovations, Computational Statistics, 10.1007/s00180-019-00893-z, (2019).
- Ali Azarbar, Yu Wang, Saralees Nadarajah, Simultaneous Bayesian modeling of longitudinal and survival data in breast cancer patients, Communications in Statistics - Theory and Methods, 10.1080/03610926.2019.1635701, (1-15), (2019).
- Mohadeseh Alsadat Farzammehr, Mohammad Reza Zadkarami, Geoffrey J. McLachlan, Skew-normal generalized spatial panel data model, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2019.1622718, (1-29), (2019).
- F. Pakbaz, F. Hosseini, A. R. Nematollahi, Modeling additive genetic effects in animal models by closed skew normal distribution, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2019.1664576, (1-13), (2019).
- Guillermo Martínez-Flórez, Artur J. Lemonte, Hugo S. Salinas, Multivariate Skew-Power-Normal Distributions: Properties and Associated Inference, Symmetry, 10.3390/sym11121509, 11, 12, (1509), (2019).
- Daniele Durante, Conjugate Bayes for probit regression via unified skew-normal distributions, Biometrika, 10.1093/biomet/asz034, (2019).
- Moh'd T. Alodat, Mohammad Al-Rawwash, A proposed mechanism for skewing symmetric distributions, Communications in Statistics - Theory and Methods, 10.1080/03610926.2019.1676441, (1-22), (2019).
- P. Hasanalipour, M. Razmkhah, Inference on skew-normal distribution based on Fisher information in order statistics, Communications in Statistics - Simulation and Computation, 10.1080/03610918.2019.1674869, (1-17), (2019).
- Andrea Macrina, Jun Sekine, Stochastic modelling with randomized Markov bridges, Stochastics, 10.1080/17442508.2019.1703988, (1-27), (2019).
- Mauro Bernardi, Roy Cerqueti, Arsen Palestini, The Skew Normal multivariate risk measurement framework, Computational Management Science, 10.1007/s10287-019-00350-8, (2019).
- Manuele Leonelli, Dani Gamerman, Semiparametric bivariate modelling with flexible extremal dependence, Statistics and Computing, 10.1007/s11222-019-09878-w, (2019).
- Hanze Zhang, Yangxin Huang, Quantile regression-based Bayesian joint modeling analysis of longitudinal–survival data, with application to an AIDS cohort study, Lifetime Data Analysis, 10.1007/s10985-019-09478-w, (2019).
- Toshihiro Abe, Hironori Fujisawa, Multivariate skew distributions with mode-invariance through the transformation of scale, Japanese Journal of Statistics and Data Science, 10.1007/s42081-019-00047-x, (2019).
- Thomas de Graaff, On the estimation of spatial stochastic frontier models: an alternative skew-normal approach, The Annals of Regional Science, 10.1007/s00168-019-00928-9, (2019).
- Indranil Ghosh, Hon Keung Tony Ng, A class of skewed distributions with applications in environmental data, Communications in Statistics: Case Studies, Data Analysis and Applications, 10.1080/23737484.2019.1648194, (1-19), (2019).
- Ehsan Masoudi, Heinz Holling, Belmiro P. M. Duarte, Weng Kee Wong, A Metaheuristic Adaptive Cubature Based Algorithm to Find Bayesian Optimal Designs for Nonlinear Models, Journal of Computational and Graphical Statistics, 10.1080/10618600.2019.1601097, (1-16), (2019).
- Pavlo Mozharovskyi, Julie Josse, François Husson, Nonparametric Imputation by Data Depth, Journal of the American Statistical Association, 10.1080/01621459.2018.1543123, (1-24), (2019).
- Sifan Long, Ming Zhao, Jieqiong Song, A novel PCA-DC-Bagging algorithm on yield stress prediction of RAFM steel, Computing, 10.1007/s00607-019-00727-2, (2019).
- Dan Hu, Sarah M. Ryan, Quantifying the effect of uncertainty in the gas spot price on power system dispatch costs with estimated correlated uncertainties, Energy Systems, 10.1007/s12667-019-00358-8, (2019).
- THEEPAKORN JITHITIKULCHAI, BRUCE A. MCCARL, XIMING WU, DECADAL CLIMATE VARIABILITY IMPACTS ON CLIMATE AND CROP YIELDS, Journal of Agricultural and Applied Economics, 10.1017/aae.2018.25, 51, 01, (104-125), (2018).
- Ziwei Ma, Xiaonan Zhu, Tonghui Wang, Kittawit Autchariyapanitkul, Joint Plausibility Regions for Parameters of Skew Normal Family, Predictive Econometrics and Big Data, 10.1007/978-3-319-70942-0_16, (233-245), (2018).
- Khamis K. Said, Wei Ning, Yubin Tian, Detecting changes in linear regression models with skew normal errors, Random Operators and Stochastic Equations, 10.1515/rose-2018-0001, 26, 1, (1-10), (2018).
- Ziwei Ma, Weizhong Tian, Baokun Li, Tonghui Wang, The Decomposition of Quadratic Forms Under Skew Normal Settings, Predictive Econometrics and Big Data, 10.1007/978-3-319-70942-0_15, (222-232), (2018).
- Weizhong Tian, Tonghui Wang, Fengrong Wei, Fang Dai, Shape Mixture Models Based on Multivariate Extended Skew Normal Distributions, Predictive Econometrics and Big Data, 10.1007/978-3-319-70942-0_20, (273-286), (2018).
- Xiaonan Zhu, Baokun Li, Mixia Wu, Tonghui Wang, Plausibility Regions on Parameters of the Skew Normal Distribution Based on Inferential Models, Predictive Econometrics and Big Data, 10.1007/978-3-319-70942-0_21, (287-302), (2018).
- Federico Belotti, Giuseppe Ilardi, Consistent inference in fixed-effects stochastic frontier models, Journal of Econometrics, 10.1016/j.jeconom.2017.09.005, 202, 2, (161-177), (2018).
- Phontita Thiuthad, Nabendu Pal, Hypothesis Testing on the Location Parameter of a Skew-Normal Distribution (SND) with Application, ITM Web of Conferences, 10.1051/itmconf/20182003003, 20, (03003), (2018).
- Víctor Hugo Lachos Dávila, Celso Rômulo Barbosa Cabral, Camila Borelli Zeller, Víctor Hugo Lachos Dávila, Celso Rômulo Barbosa Cabral, Camila Borelli Zeller, Scale Mixtures of Skew-Normal Distributions, Finite Mixture of Skewed Distributions, 10.1007/978-3-319-98029-4_3, (15-36), (2018).
- Haocheng Li, Di Shu, Yukun Zhang, Grace Y. Yi, Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses, Computational Statistics & Data Analysis, 10.1016/j.csda.2017.09.004, 118, (126-137), (2018).
- Sebastian Trautmann, Magdalena Reineboth, Katharina Trikojat, Jan Richter, Muriel A. Hagenaars, Philipp Kanske, Judith Schäfer, Susceptibility to others' emotions moderates immediate self-reported and biological stress responses to witnessing trauma, Behaviour Research and Therapy, 10.1016/j.brat.2018.09.001, 110, (55-63), (2018).
- Ali Akbar Hekmatzadeh, Farshad Zarei, Ali Johari, Ali Torabi Haghighi, Reliability analysis of stability against piping and sliding in diversion dams, considering four cutoff wall configurations, Computers and Geotechnics, 10.1016/j.compgeo.2018.02.019, 98, (217-231), (2018).
- Sayantee Jana, Narayanaswamy Balakrishnan, Jemila S. Hamid, Estimation of the parameters of the extended growth curve model under multivariate skew normal distribution, Journal of Multivariate Analysis, 10.1016/j.jmva.2018.02.008, 166, (111-128), (2018).
- Masashi Hyodo, Akihiro Onobuchi, Hiroyuki Kurakami, An approximate multivariate asymptotic expansion-based test for population bioequivalence, Journal of Statistical Planning and Inference, 10.1016/j.jspi.2018.09.006, (2018).
- See more




