# Sankhya B: The Indian Journal of Statistics
2016 - 2022
Current editor(s): *Dipak Dey* From: Springer Indian Statistical Institute Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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**Volume 84, issue 2, 2022**
- Poisson Counts, Square Root Transformation and Small Area Estimation pp. 449-471
*Malay Ghosh*, *Tamal Ghosh* and *Masayo Y. Hirose*
- COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation pp. 472-494
*Siva Athreya*, *Giridhara R. Babu*, *Aniruddha Iyer*, *Mohammed Minhaas B. S.*, *Nihesh Rathod*, *Sharad Shriram*, *Rajesh Sundaresan*, *Nidhin Koshy Vaidhiyan* and *Sarath Yasodharan*
- Implications of Faithfulness in Graphical Models pp. 495-515
*Dhafer Malouche*
- Bayesian Model Selection for Longitudinal Count Data pp. 516-547
*Oludare Ariyo*, *Emmanuel Lesaffre*, *Geert Verbeke* and *Adrian Quintero*
- Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions pp. 548-574
*Masato Okamoto*
- Stationary GE-Process and its Application in Analyzing Gold Price Data pp. 575-595
*Debasis Kundu*
- Estimating a Mixing Distribution on the Sphere Using Predictive Recursion pp. 596-626
*Vaidehi Dixit* and *Ryan Martin*
- THE STATE OF ECONOMETRICS AFTER JOHN W. PRATT, ROBERT SCHLAIFER, BRIAN SKYRMS, AND ROBERT L. BASMANN pp. 627-654
*Swamy Paravastu*, *Peter von zur Muehlen*, *Jatinder Singh Mehta* and *I-Lok Chang*
- Weighted Lindley Shared Regression Model for Bivariate Left Censored Data pp. 655-682
*Shikhar Tyagi*, *Arvind Pandey* and *Christophe Chesneau*
- Dynamic Copulas for Monotonic Dependence Change in Time Series pp. 683-693
*Antoine Bergeron*, *Pierre Dutilleul*, *Carole Beaulieu* and *Taoufik Bouezmarni*
- Robust Moderately Clipped LASSO for Simultaneous Outlier Detection and Variable Selection pp. 694-707
*Yang Peng*, *Bin Luo* and *Xiaoli Gao*
- Directional Measure for Analyzing the Degree of Deviance from Generalized Marginal Mean Equality Model in Square Contingency Tables pp. 708-721
*Shuji Ando*
- Chance Mechanisms Involving Sibuya Distribution and its Relatives pp. 722-764
*Thierry E. Huillet*
- On Improving the Posterior Predictive Distribution of the Difference Between two Independent Poisson Distribution pp. 765-777
*Abdolnasser Sadeghkhani*
- An Alternative to the Oversimplifying Benford’s Law in Experimental Fields pp. 778-808
*Stéphane Blondeau Da Silva*
- A Bayesian Regression Model for the Non-standardized t Distribution with Location, Scale and Degrees of Freedom Parameters pp. 809-830
*Margarita Marín* and *Edilberto Cepeda-Cuervo*
- ANCOVA: An Approach Based on a Robust Heteroscedastic Measure of Effect Size pp. 831-845
*Rand R. Wilcox*
- Bivariate Semi-parametric Singular Family of Distributions and its Applications pp. 846-872
*Debasis Kundu*
- Mortality Comparisons ‘At a Glance’: A Mortality Concentration Curve and Decomposition Analysis for India pp. 873-894
*John Creedy* and *S. Subramanian*
- Different Coefficients for Studying Dependence pp. 895-914
*Oona Rainio*
**Volume 84, issue 1, 2022**
- Bayesian Hierarchical Modeling: Application Towards Production Results in the Eagle Ford Shale of South Texas pp. 1-43
*Se Yoon Lee* and *Bani K. Mallick*
- The Power Series Exponential Power Series Distributions with Applications to Failure Data Sets pp. 44-78
*Rasool Roozegar*, *Saralees Nadarajah* and *Eisa Mahmoudi*
- An Investigation into Adult Human Height Distributions Using Kernel Density Estimation pp. 79-105
*D. Y. Jayasinghe* and *C. L. Jayasinghe*
- Testing the Validity of a Link Function Assumption in Repeated Type-II Censored General Step-Stress Experiments pp. 106-129
*Stefan Bedbur* and *Thomas Seiche*
- Economic Statistical Design for Three-level Control Charts with Variable Sample Size pp. 130-145
*Reza Pourtaheri*
- The General Tail Dependence Function in the Marshall-Olkin and Other Parametric Copula Models with an Application to Financial Time Series pp. 146-187
*Yuri Salazar Flores* and *Adán Díaz-Hernández*
- Convergence Details About k-DPP Monte-Carlo Sampling for Large Graphs pp. 188-203
*Diala Wehbe* and *Nicolas Wicker*
- Estimation and Influence Diagnostics for the Multivariate Linear Regression Models with Skew Scale Mixtures of Normal Distributions pp. 204-242
*Graciliano M. S. Louredo*, *Camila B. Zeller* and *Clécio S. Ferreira*
- An Unbiased Regression Type Estimator In Randomized Response Sampling pp. 243-258
*Roberto Arias*, *Stephen A. Sedory* and *Sarjinder Singh*
- Fixed versus Mixed Effects Based Marginal Models for Clustered Correlated Binary Data: an Overview on Advances and Challenges pp. 259-302
*Brajendra C. Sutradhar*
- A New Goodness-of-Fit Test for the Logistic Distribution pp. 303-319
*Hadi Alizadeh Noughabi*
- A Curtailed Procedure for Selecting Among Treatments With Two Bernoulli Endpoints pp. 320-339
*Elena M. Buzaianu*, *Pinyuen Chen* and *Lifang Hsu*
- The Sibling Distribution for Multivariate Life Time Data pp. 340-363
*Ingvild M. Helgøy* and *Hans J. Skaug*
- Reliability Estimation in a Multicomponent Stress-Strength Model Based on Inverse Weibull Distribution pp. 364-401
*Raj Kamal Maurya*, *Yogesh Mani Tripathi* and *Tanmay Kayal*
- Sequential Estimation of an Inverse Gaussian Mean with Known Coefficient of Variation pp. 402-420
*Ajit Chaturvedi*, *Sudeep R. Bapat* and *Neeraj Joshi*
- Novel Log Type Class Of Estimators Under Ranked Set Sampling pp. 421-447
*Shashi Bhushan* and *Anoop Kumar*
- Correction to: Novel Log Type Class of Estimators Under Ranked Set Sampling pp. 448-448
*Shashi Bhushan* and *Anoop Kumar*
**Volume 83, issue 2, 2021**
- Structural Factorization of Latent Adjacency Matrix, with an application to Auto Industry Networks pp. 185-206
*Sayan Chakraborty*, *Arnab Bhattacharjee* and *Taps Maiti*
- Estimating Endogenous Ordered Response Panel Data Models with an Application to Income Gradient in Child Health pp. 207-243
*Kajal Lahiri* and *Liu Yang*
- Moments in Pearson's Four-Step Uniform Random Walk Problem and Other Applications of Very Well-Poised Generalized Hypergeometric Series pp. 244-281
*J. Roderick McCrorie*
- A partial likelihood-based two-dimensional multistate markov model with application to myocardial infarction and stroke recurrence pp. 282-303
*Chu-Chih Chen*, *, Chuan-Pin Lee*, *Yuan-Horng Yan*, *Tsun-Jen Cheng* and *Pranab K. Sen*
- Marginal Continuation odds Ratio Model and Decomposition of Marginal Homogeneity Model for Multi-way Contingency Tables pp. 304-324
*Satoru Shinoda*, *Kouji Tahata*, *Kouji Yamamoto* and *Sadao Tomizawa*
- On Some Circular Distributions Induced by Inverse Stereographic Projection pp. 319-341
*Yogendra P. Chaubey* and *Shamal C. Karmaker*
- Logistic Quantile Regression for Bounded Outcomes Using a Family of Heavy-Tailed Distributions pp. 325-349
*Christian E. Galarza*, *Panpan Zhang* and *Víctor H. Lachos*
- Analyzing Unevenly Spaced Longitudinal Count Data pp. 342-373
*Alwell J. Oyet* and *Brajendra C. Sutradhar*
- Inferences from Asymmetric Multivariate Exponential Power Distribution pp. 350-370
*A. T. Soyinka* and *A. A. Olosunde*
- Ratio-Type Exponential Estimator for the Population Mean at the Current Occasion in the Presence of Non-Response in Successive Sampling pp. 371-394
*Surya K. Pal* and *Housila P. Singh*
- A Shared Spatial Model for Multivariate Extreme-Valued Binary Data with Non-Random Missingness pp. 374-396
*Xiaoyue Zhao*, *Lin Zhang* and *Dipankar Bandyopadhyay*
- Bayesian Spatial Modeling for Housing Data in South Africa pp. 395-414
*Bingling Wang*, *Sudipto Banerjee* and *Rangan Gupta*
- Detection of EXPAR nonlinearity in the Presence of a Nuisance Unidentified Under the Null Hypothesis pp. 397-429
*Nabil Azouagh* and *Said El Melhaoui*
- Three-level zero-inflated Conway–Maxwell–Poisson regression model for analyzing dispersed clustered count data with extra zeros pp. 415-439
*Somayeh Ghorbani Gholiabad*, *Abbas Moghimbeigi* and *Javad Faradmal*
- Estimating the Welfare Gains from Public Schools in Rural India pp. 430-443
*Debopam Bhattacharya*, *Anders Kjelsrud* and *Rohini Somanathan*
- Recursive Modified Pattern Search on High-Dimensional Simplex: A Blackbox Optimization Technique pp. 440-483
*Priyam Das*
- A Robust Sharpe Ratio pp. 444-465
*Mahesh K.c* and *Arnab Kumar Laha*
- A Weighted Likelihood Approach to Problems in Survival Data pp. 466-492
*Adhidev Biswas*, *Suman Majumder*, *Pratim Guha Niyogi* and *Ayanendranath Basu*
- Poisson Generated Family of Distributions: A Review pp. 484-540
*Sandeep Kumar Maurya* and *Saralees Nadarajah*
- Mahalanobis Metric Based Clustering for Fixed Effects Model pp. 493-506
*Chihwa Kao*, *Min Seong Kim* and *Zhonghui Zhang*
- Kernel Density Estimation Based on the Distinct Units in Sampling with Replacement pp. 507-547
*Sayed A. Mostafa* and *Ibrahim A. Ahmad*
- A Comparison of Bayesian Accelerated Failure Time Models with Spatially Varying Coefficients pp. 541-557
*Guanyu Hu*, *Yishu Xue* and *Fred Huffer*
- An Extension of J-Shaped Distribution with Application to Tissue Damage Proportions in Blood pp. 548-574
*Komal Shekhawat* and *Vikas Kumar Sharma*
- High Precision Numerical Computation of Principal Points for Univariate Distributions pp. 558-584
*Santanu Chakraborty*, *Mrinal Kanti Roychowdhury* and *Josef Sifuentes*
- A Study of Bivariate Generalized Pareto Distribution and its Dependence Structure Among Model Parameters pp. 575-604
*Indranil Ghosh* and *Osborne Banks*
- Sparse Portfolio Selection via Bayesian Multiple Testing pp. 585-617
*Sourish Das* and *Rituparna Sen*
**Volume 83, issue 1, 2021**
- Preface for the Jayanta K. Ghosh Memorial Volume of Sankhya, Series B pp. 1-2
*Bertrand S. Clarke* and *Gauri S. Datta*
- On the Development of a Local FDR-Based Approach to Testing Two-Way Classified Hypotheses pp. 1-11
*Sanat K. Sarkar* and *Shinjini Nandi*
- Bayesian Analysis of Mixed-effect Regression Models Driven by Ordinary Differential Equations pp. 3-29
*Qianwen Tan* and *Subhashis Ghosal*
- A Basic Treatment of the Distance Covariance pp. 12-25
*Dominic Edelmann*, *Tobias Terzer* and *Donald Richards*
- On the Exceedances of Exchangeable Random Variables pp. 26-35
*Satish Iyengar*
- A Partition Dirichlet Process Model for Functional Data Analysis pp. 30-65
*Christoph Hellmayr* and *Alan E. Gelfand*
- Comparison of Some Exact Tests for a Common Location Parameter of Several Truncated Exponential Distributions with Different Scale Parameters pp. 36-64
*Yehenew G. Kifle* and *Bimal K. Sinha*
- Shape Detection Using Semi-Parametric Shape-Restricted Mixed Effects Regression Spline with Applications pp. 65-85
*Qing Yin*, *Xiaoshuang Xun*, *Shyamal D. Peddada* and *Jennifer J. Adibi*
- Bayesian Test of Normality Versus a Dirichlet Process Mixture Alternative pp. 66-96
*Surya T. Tokdar* and *Ryan Martin*
- Imputation for Skewed Data: Multivariate Lomax Case pp. 86-113
*Zhixin Lun* and *Ravindra Khattree*
- A Survey of Nonparametric Mixing Density Estimation via the Predictive Recursion Algorithm pp. 97-121
*Ryan Martin*
- On Some Smooth Estimators of the Quantile Function for a Stationary Associated Process pp. 114-139
*Yogendra P. Chaubey*, *Isha Dewan* and *Jun Li*
- Bivariate Kernel Deconvolution with Panel Data pp. 122-151
*Guillermo Basulto-Elias*, *Alicia L. Carriquiry*, *Kris Brabanter* and *Daniel J. Nordman*
- A Two-sample Nonparametric Test for Circular Data– its Exact Distribution and Performance pp. 140-166
*S. Rao Jammalamadaka*, *Stéphane Guerrier* and *Vasudevan Mangalam*
- Statistical Modeling of Longitudinal Data with Non-Ignorable Non-Monotone Missingness with Semiparametric Bayesian and Machine Learning Components pp. 152-169
*Yu Cao* and *Nitai D. Mukhopadhyay*
- Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport pp. 167-184
*Frank Nielsen*, *Gautier Marti*, *Sumanta Ray* and *Saumyadipta Pyne*
- Model Selection With Mixed Variables on the Lasso Path pp. 170-184
*X. Jessie Jeng*, *Huimin Peng* and *Wenbin Lu*
- The Horseshoe-Like Regularization for Feature Subset Selection pp. 185-214
*Anindya Bhadra*, *Jyotishka Datta*, *Nicholas G. Polson* and *Brandon T. Willard*
- A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations pp. 215-241
*Shuchi Goyal*, *Gauri Sankar Datta* and *Abhyuday Mandal*
- On Making Valid Inferences by Integrating Data from Surveys and Other Sources pp. 242-272
*J. N. K. Rao*
- Multivariate Normal Inference based on Singly Imputed Synthetic Data under Plug-in Sampling pp. 273-287
*Martin Klein*, *Ricardo Moura* and *Bimal Sinha*
- Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption pp. 288-317
*Lorenzo Pacchiardi*, *Pierre Künzli*, *Marcel Schöngens*, *Bastien Chopard* and *Ritabrata Dutta*
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