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Content
August 2024, Volume 92, Issue 2
- 137-159 A Conversation With Marc Hallin
by Christian Genest
- 160-193 Penalisation Methods in Fitting High‐Dimensional Cointegrated Vector Autoregressive Models: A Review
by Marie Levakova & Susanne Ditlevsen
- 194-245 Estimation of Graphical Models: An Overview of Selected Topics
by Li‐Pang Chen
- 246-262 Matrix‐Variate Time Series Analysis: A Brief Review and Some New Developments
by Ruey S. Tsay
- 263-283 On the Most Effective Use of Continuous Auxiliary Variables in Regression Estimation in Survey Sampling
by Takis Merkouris
- 284-321 On the Inversion‐Free Newton's Method and Its Applications
by Huy N. Chau & J. Lars Kirkby & Dang H. Nguyen & Duy Nguyen & Nhu N. Nguyen & Thai Nguyen
- 322-323 Post‐Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data Syed Ejaz Ahmed, Feryaal Ahmed, Bahadir Yüzbaşı. Chapman & Hall/CRC Press, 2023, 408 page, £125/$160, hardback ISBN: 9780367763442
by Ravindra Khattree
- 324-324 Soccer Analytics: An Introduction Using R. Clive Beggs Chapman & Hall/CRC, 2024, xvi + 380 pages, £49.99, hardcover ISBN: 978‐1‐0323‐5758‐4
by Antony Unwin
- 325-326 Controlled Epidemiological Studies. Marie Reilly. Chapman & Hall/CRC Biostatistics Series, CRC Press, 2023, xxxii + 439 pages, £115/$150, hardcover. ISBN: 978‐0‐367‐18678‐4 (hbk)
by Reijo Sund
April 2024, Volume 92, Issue 1
- 1-16 Estimating the Reciprocal of a Binomial Proportion
by Jiajin Wei & Ping He & Tiejun Tong
- 17-42 Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics
by Eric J. Beh & Rosaria Lombardo
- 43-61 Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology
by Edgar Santos‐Fernandez & Julie Vercelloni & Aiden Price & Grace Heron & Bryce Christensen & Erin E. Peterson & Kerrie Mengersen
- 62-86 Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?
by Anna Pajor & Justyna Wróblewska & Łukasz Kwiatkowski & Jacek Osiewalski
- 87-105 Generalised Income Inequality Index
by Ziqing Dong & Yves Tille & Giovanni Maria Giorgi & Alessio Guandalini
- 106-129 Parametric Quantile Beta Regression Model
by Marcelo Bourguignon & Diego I. Gallardo & Helton Saulo
- 130-132 Multidimensional Stationary Time Series Dimension Reduction and Prediction Marianna Bolla, Tamás Szabados Routledge, 2023, xiv + 318 pages, $59.95, paperback ISBN: 9780367619701
by Brian W. Sloboda
- 132-134 An Introduction to R and Python for Data Analysis: A Side‐by‐Side Approach Taylor R. Brown Chapman and Hall/CRC, 2023, 246 pages (hardback $99.95, ebook $74.96) ISBN 978‐10322032‐56
by Daniel Fischer
- 134-135 Geographic Data Science With Python Sergio Rey, Dani Arribas‐Bel, Levi John Wolf CRC Press, 2023, xiv + 410 pages, 119 Color & 4 B/W Illustrations, £39.19/$89.95, paperback ISBN: 978‐1‐032‐44595‐3 (pbk)
by Krzysztof Podgórski
December 2023, Volume 91, Issue 3
August 2023, Volume 91, Issue 2
- 165-192 Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference
by Shixiao Zhang & Peisong Han & Changbao Wu
- 193-217 Simultaneous inference for linear mixed model parameters with an application to small area estimation
by Katarzyna Reluga & María‐José Lombardía & Stefan Sperlich
- 218-242 Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea
by Won Son & Johan Lim & Donghyeon Yu
- 243-268 ABC of the future
by Henri Pesonen & Umberto Simola & Alvaro Köhn‐Luque & Henri Vuollekoski & Xiaoran Lai & Arnoldo Frigessi & Samuel Kaski & David T. Frazier & Worapree Maneesoonthorn & Gael M. Martin & Jukka Corander
- 269-293 Accounting for Non‐ignorable Sampling and Non‐response in Statistical Matching
by Daniela Marella & Danny Pfeffermann
- 294-317 A Bootstrap Variance Procedure for the Generalised Regression Estimator
by Marius Stefan & Michael A. Hidiroglou
- 318-342 A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling
by Aaron Osgood‐Zimmerman & Jon Wakefield
- 343-345 The Effect: An Introduction to Research Design and Causality, Nick Huntington‐Klein, Chapman & Hall/CRC, 2022, xiv +v620 pages, $39.95, paperback. ISBN: 9781032125787
by Brian W. Sloboda
- 345-347 Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan, Jun Xu, Chapman & Hall/CRC, 2023, xv + 281 pages, £80.99/$108, hardcover ISBN: 9780367173876 (hbk); 9781032376745 (pbk); 9780429056468 (ebk)
by Shuangzhe Liu
- 347-348 Data Conscience: Algorithmic Siege on Our Humanity, Brandeis Hill Marshall, Wiley, 2022, xxv + 326 pages, paperback £30.99, ISBN: 978‐1‐119‐82118‐2
by Debashis Ghosh
- 348-348 Number Savvy: From the Invention of Numbers to the Future of Data, George Sciadas, Chapman & Hall/CRC, 2022, 312 pages, £56.99/$74.95, hardcover, ISBN 9781032362151
by Fabrizio Durante
April 2023, Volume 91, Issue 1
December 2022, Volume 90, Issue S1
December 2022, Volume 90, Issue 3
August 2022, Volume 90, Issue 2
- 193-215 Variable Selection for Interval‐censored Failure Time Data
by Mingyue Du & Jianguo Sun
- 216-236 Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches
by John Haslett & Andrew C. Parnell & John Hinde & Rafael de Andrade Moral
- 237-258 Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics
by Janice L. Scealy & David Heslop & Jia Liu & Andrew T. A. Wood
- 259-284 A Review of Seasonal Adjustment Diagnostics
by Tucker McElroy & Anindya Roy
- 285-305 Estimating Monotonic Hazard Ratio Functions of Time
by Anthony Y.C. Kuk
- 306-327 Sparser Ordinal Regression Models Based on Parametric and Additive Location‐Shift Approaches
by Gerhard Tutz & Moritz Berger
- 328-345 Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data
by Henry R. Scharf & Xinyi Lu & Perry J. Williams & Mevin B. Hooten
- 346-373 Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman
by Ray Chambers & Stephen Beare & Scott Peak & Mohammed Al‐Kalbani
- 374-396 White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane
by Eduarda T. C. Chagas & Marcelo Queiroz‐Oliveira & Osvaldo A. Rosso & Heitor S. Ramos & Cristopher G. S. Freitas & Alejandro C. Frery
- 397-410 Unlucky Number 13? Manipulating Evidence Subject to Snooping
by Uwe Hassler & Marc‐Oliver Pohle
- 411-412 Extreme Value Theory with Applications to Natural Hazards: From Statistical Theory to Industrial Practice. Edited by Nicolas Bousquet and Pietro Bernardara. Springer Cham, 2021, xxii + 481 pages, $199.99. ISBN: 978‐3‐030‐74941‐5
by Fabrizio Durante
- 412-414 Game Data Science. Magy Seif El‐Nasr, Truong‐Huy D. Nguyen, Alessandro Canossa, Anders Drachen, Oxford University Press, 2022, xvi + 416 pages, $105 (hardback)/$55 (paperback) ISBN‐10: 019289787X, ISBN‐13: 978‐0192897879 (hardback), 978–0192897886 (paperback)
by Shuangzhe Liu
- 414-415 Wavelets from a Statistical Perspective. Maarten Jansen. Chapman and Hall/CRC, 2022, xix + 325 pages, $96 (hardcover). ISBN: 978‐1‐032‐20067‐5 (hardcover)
by Krzysztof Podgórski
- 415-417 Administrative Records for Survey Methodology. Edited by Asaph Young Chun, Michael D. Larsen, Gabriele Durrant, Jerome P. Reiter. John Wiley and Sons, 2021, 384 pages, $128.95 (hardcover). ISBN: 978‐1‐1192‐7204‐5
by Reijo Sund
April 2022, Volume 90, Issue 1
- 1-40 An Interview with John M. Abowd
by Ian Schmutte & Lars Vilhuber
- 41-61 An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere
by Hemangi V. Kulkarni & Ashis SenGupta
- 62-77 On testing for homogeneity with zero‐inflated models through the lens of model misspecification
by Wei‐Wen Hsu & Nadeesha R. Mawella & David Todem
- 78-99 Bayesian Models Applied to Cyber Security Anomaly Detection Problems
by José A. Perusquía & Jim E. Griffin & Cristiano Villa
- 100-117 Effect of Covariate Omission in Randomised Controlled Trials: A Review and Simulation Study
by Ryota Ishii & Kazushi Maruo & Masahiko Gosho
- 118-145 A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates
by Laura Freijeiro‐González & Manuel Febrero‐Bande & Wenceslao González‐Manteiga
- 146-164 Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts
by Lingxiao Wang & Barry I. Graubard & Hormuzd A. Katki & Yan Li
- 165-183 Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Application to Disclosure Risk Estimation
by Cinzia Carota & Maurizio Filippone & Silvia Polettini
- 184-185 Population Genomics with R, Emmanuel Paradis, Chapman & Hall/CRC, 2020, 394 pages, $120, hardback. ISBN: 978‐1‐1386‐0818‐4
by Daniel Fischer
- 185-186 Fundamentals of Causal Inference with R, Babette A. Brumback, Chapman & Hall/CRC, 2021, xi + 236 pages, $69.95, hardcover. ISBN: 978‐0‐3677‐0505‐3
by Debashis Ghosh
- 187-188 Replication and Evidence Factors in Observational Studies, Paul R. Rosenbaum, Chapman & Hall/CRC, 2021, xviii + 254 pages, $120, hardback, ISBN: 978‐036748‐388‐3
by John H. Maindonald
- 189-191 Communicating with Data: The Art of Writing for Data Science, Deborah Nolan and Sara Stoudt, Oxford University Press, 2021, vii + 331 pages, $45.95, paperback, ISBN: 978‐0‐1988‐6275‐8
by Kelly McConville
- 191-192 Practical Smoothing: The Joys of P‐splines, Paul H. C. Eilers and Brian D. Marx, Cambridge University Press, 2021, xii + 199 pages, $59.99, hardcover, ISBN: 978‐1‐1084‐8295‐0
by Krzysztof Podgórski
December 2021, Volume 89, Issue 3
- 435-446 2021 International Statistical Institute Mahalanobis Award: A Tribute to Heleno Bolfarine
by Fabrizio Ruggeri & Henrique Bolfarine & Jorge Luis Bazán & Reinaldo B. Arellano‐Valle & Victor Hugo Lachos Davila & Mário de Castro
- 447-480 Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies
by Antonello Maruotti & Antonio Punzo
- 481-504 Estimating Sampling Errors in Consumer Price Indices
by Paul A. Smith
- 505-531 Spatial Regression With Partial Differential Equation Regularisation
by Laura M. Sangalli
- 532-549 Spatial Sampling for Non‐compact Patterns
by Linda Altieri & Daniela Cocchi
- 550-572 Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data
by Masahiko Gosho & Hisashi Noma & Kazushi Maruo
- 573-604 Supervised Machine Learning Techniques: An Overview with Applications to Banking
by Linwei Hu & Jie Chen & Joel Vaughan & Soroush Aramideh & Hanyu Yang & Kelly Wang & Agus Sudjianto & Vijayan N. Nair
- 605-634 A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications
by Brian J. Reich & Shu Yang & Yawen Guan & Andrew B. Giffin & Matthew J. Miller & Ana Rappold
- 635-656 A Two‐level GREG Estimator for Consistent Estimation in Household Surveys
by Anne Konrad & Jan Pablo Burgard & Ralf Münnich
- 657-658 Parameter Redundancy and Identifiability Diana Cole Chapman and Hall/CRC, 2020, xx + 252 pages, £140, hardcover ISBN: 978‐1‐498‐72087‐8
by Carl M. O'Brien
- 658-659 Measurement Error in Longitudinal Data Alexandru Cernat and Joseph W. Sakshaug, Editors Oxford University Press, 2021, xii + 448 pages, $115.00, hardcover ISBN: 978‐0‐19‐885998‐7
by Carol Joyce Blumberg
- 659-660 Direction Dependence in Statistical Modeling: Methods of Analysis Wolfgang Wiedermann, Daeyoung Kim, Engin A. Sungur and Alexander von Eye, Editors Wiley, 2021, 432 pages, £102, hardcover ISBN: 978‐1‐119‐52307‐9
by Fabrizio Durante
- 660-661 Official Statistics 4.0: Verified Facts for People in the 21st Century Walter J. Radermacher Springer International Publishing, 2020, xii + 158 pages, $79.99, hardcover ISBN: 978‐3‐030‐31491‐0
by Wendy L. Martinez
- 661-663 Exploratory Model Analysis: Explore, Explain, and Examine Predictive Models Przemyslaw Biecek and Tomasz Burzykowski Chapman & Hall/CRC, 2021, xiv + 309 pages, £63.99, hardcover ISBN: 978‐0‐3671‐3559‐1
by Antony Unwin
- 663-666 Business Experiments with R B. D. McCullough Wiley, 2021, xxi + 361 pages, $104, Reflowable softcopy on VitalSource eText ISBN: 978‐1‐119‐68988‐1, 1119689880
by Sathyanarayan Anand
August 2021, Volume 89, Issue 2
- 215-215 Foreword for the mini issue in honour of Prof C. R. Rao
by Scott H. Holan & Nalini Ravishanker
- 216-236 C. Radhakrishna Rao: A Century in Statistical Science
by Nandini Kannan & Debasis Kundu
- 237-249 Rao–Blackwellisation in the Markov Chain Monte Carlo Era
by Christian P. Robert & Gareth Roberts
- 250-273 Information Geometry
by Shun‐ichi Amari
- 274-301 Predictive Inference Based on Markov Chain Monte Carlo Output
by Fabian Krüger & Sebastian Lerch & Thordis Thorarinsdottir & Tilmann Gneiting
- 302-322 On the Effects of Spatial Confounding in Hierarchical Models
by Widemberg S. Nobre & Alexandra M. Schmidt & João B. M. Pereira
- 323-348 A multivariate Poisson model based on comonotonic shocks
by Juliana Schulz & Christian Genest & Mhamed Mesfioui
- 349-366 Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs
by Edgar Brunner & Frank Konietschke & Arne C. Bathke & Markus Pauly
- 367-381 Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests
by Jesse Hemerik & Jelle J. Goeman
- 382-401 Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference
by Jae‐Kwang Kim & Siu‐Ming Tam
- 402-419 Fisher's g Revisited
by Barry G. Quinn
- 420-421 Computational Genomics with R Altuna Akalin Chapman & Hall/CRC, 2021, xxii + 440 pages, £99.99, hardcover ISBN: 978‐1‐4987‐8185‐5
by Krzysztof Podgórski
- 422-423 Random Forests with R Robin Genuer & Jean‐Michel Poggi Springer, 2019, x + 99 pp, £49.99, paperback. ISBN: 978‐3‐030‐56484‐1
by John H. Maindonald
- 423-426 Handbook of Automated Scoring: Theory into Practice Duanli Yan, André A. Rupp and Peter W. Foltz Chapman & Hall/CRC, 2020, 580 pages, £120, hardcover ISBN: 978‐1‐1385‐7827‐2
by Magdalen Beiting‐Parrish & Jay Verkuilen
- 426-429 Stochastic Models in Reliability Engineering Lirong Cui, Ilia Frenkel and Anatoly Lisniansku CRC Press, 2020, 482 pages, $190.00, hardcover ISBN: 978‐0‐367‐34585‐3
by Hon Keung Tony Ng
- 429-431 Text Analytics: Advances and Challenges Domenica Fioredistella Iezzi, Damon Mayaffre and Michelangelo Misuraca Springer, 2020, xi + 302 pages, £95.50, eBook ISBN: 978‐3‐030‐52680‐1
by Jordan Rodu
- 431-432 Numerical Weather Prediction and Data Assimilation Petros Katsafados, Elias Mavromatidis and Christos Spyrou Wiley, 2020, x+208 pages, $165, hardcover ISBN: 978‐1‐786‐30141‐3
by Krzysztof Podgórski
- 433-433 A Survey of Differentially Private Regression for Clinical and Epidemiological Research
by Joseph Ficek & Wei Wang & Henian Chen & Getachew Dagne & Ellen Daley
April 2021, Volume 89, Issue 1
December 2020, Volume 88, Issue S1
December 2020, Volume 88, Issue 3
- 521-547 A Conversation With Paul Embrechts
by Christian Genest & Johanna G. Nešlehová
- 548-579 Advanced Multilevel Monte Carlo Methods
by Ajay Jasra & Kody Law & Carina Suciu
- 580-598 Smoothing and Benchmarking for Small Area Estimation
by Rebecca C. Steorts & Timo Schmid & Nikos Tzavidis
- 599-615 Likelihood, Replicability and Robbins' Confidence Sequences
by Luigi Pace & Alessandra Salvan
- 616-641 On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices
by Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi
- 642-657 Is there a 'safe area' where the nonresponse rate has only a modest effect on bias despite non‐ignorable nonresponse?
by Dan Hedlin
- 658-676 A Review of Envelope Models
by Minji Lee & Zhihua Su
- 677-697 Tests of Normality of Functional Data
by Tomasz Górecki & Lajos Horváth & Piotr Kokoszka
- 698-714 Graphical Comparison of High‐Dimensional Distributions
by Reza Modarres
- 715-727 A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values
by Anthony Y. C. Kuk
- 728-751 Performance Measures in Dose‐Finding Experiments
by Nancy Flournoy & José Moler & Fernando Plo
- 752-775 Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures
by Federico Castelletti
- 776-792 A Geometrical Interpretation of Collinearity: A Natural Way to Justify Ridge Regression and Its Anomalies
by José García‐Pérez & María del Mar López‐Martín & Catalina García‐García & Román Salmerón‐Gómez
- 793-796 Letter to the Editor: ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’
by Francisco J. Rubio Alvarez
- 797-801 Response to the Letter to the Editor on ‘On Quantile‐based Asymmetric Family of Distributions: Properties and Inference’
by Irène Gijbels & Rezaul Karim & Anneleen Verhasselt
- 802-804 Statistical Remedies for Medical Researchers
by Bibhas Chakraborty
- 804-806 Sampling And Estimation From Finite Populations
by Carl M. O'Brien
- 806-808 Statistical Inference via Convex Optimization Nillas, Alice Anatoli Juditsky and Arkadi Nemirovski Princeton University Press, 2020, xiv + 656 pages, £ 70/$85, hardcover ISBN: 978‐0‐6911‐9729‐6
by Debashis Ghosh
- 808-809 Time Series: A First Course With Bootstrap Starter Tucker S. McElroy and Dimitris N. Politis CRC Press, 2020, xix + 566 pages, £ 74.99/$99.95, hardcover ISBN 978‐1‐4398‐7561‐0
by Yao Qiwei
- 809-812 End‐to‐End Data Science with SAS: A Hands‐On Programming Guide James Gearheart SAS Press, 2020, xiii+363 pages, £ 23.99$29.99, ebook ISBN: 978‐1‐64295‐806‐5
by Ravi Khattree
August 2020, Volume 88, Issue 2
- 265-279 Interview with Professor Adrian FM Smith
by Petros Dellaportas & David A. Stephens
- 280-301 Women Trailblazers in the Statistical Profession
by Lynne Billard & Katherine K. Wallman
- 302-320 Horseshoe Regularisation for Machine Learning in Complex and Deep Models
by Anindya Bhadra & Jyotishka Datta & Yunfan Li & Nicholas Polson
- 321-324 Discussions
by David Dunson & Theodore Papamarkou
- 324-326 Discussion
by Soumya Ghosh & Finale Doshi‐Velez
- 326-329 Discussion
by Robert B. Gramacy
- 330-334 Discussion
by Naveen Naidu Narisetty
- 335-353 Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach
by A. Charisse Farr & Kerrie Mengersen & Fabrizio Ruggeri & Daniel Simpson & Paul Wu & Prasad Yarlagadda
- 354-379 Re‐identification in the Absence of Common Variables for Matching
by Duncan Smith
- 380-395 Properties of h‐Likelihood Estimators in Clustered Data
by Lee Youngjo & Gwangsu Kim
- 396-397 Foreword: COVID‐19 Mini‐issue—Statistical Primers
by Scott H. Holan & Nalini Ravishanker & J. Sunil Rao
- 398-418 Small Area Estimation for Disease Prevalence Mapping
by Jonathan Wakefield & Taylor Okonek & Jon Pedersen
- 419-440 Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic
by Joshua Daniel Loyal & Yuguo Chen
- 441-461 Statistical Implementations of Agent‐Based Demographic Models
by Mevin Hooten & Christopher Wikle & Michael Schwob
- 462-513 A Review of Multi‐Compartment Infectious Disease Models
by Lu Tang & Yiwang Zhou & Lili Wang & Soumik Purkayastha & Leyao Zhang & Jie He & Fei Wang & Peter X.‐K. Song
- 514-515 Bayesian Statistics for Beginners: A Step‐by‐Step Approach Therese M. Donovan and Ruth M. Mickey Oxford University Press, 2019, viii + 419 pages, $100, hardcover ISBN: 978‐0‐19‐884129‐6
by Carol Joyce Blumberg
- 515-516 Machine Learning: A Concise Introduction Steven W. Knox John Wiley & Sons, 2018, 352 pages, $99.95, hardcover ISBN: 978‐1‐119‐43919‐6
by Stephen B. Vardeman
- 516-516 Semiparametric Regression with R Jaroslaw Harezlak, David Ruppert and Matt P. Wand Springer, 2018, xi + 331 pages, €85.39, ebook ISBN: 978‐1‐4939‐8853‐2
by Tapio Nummi
- 517-518 A Concise Introduction to Machine Learning A.C. FaulCRC Press, 2019, 314 pages, £46.99, paperbackISBN: 978‐0‐8153‐8410‐6
by Shuangzhe Liu
- 519-519 Correction to ‘Distribution‐free Approximate Methods for Constructing Confidence Intervals for Quantiles’
by Chaitra H. Nagaraja & Haikady N. Nagaraja
- 520-520 Book Review: Random Circulant Matrices, Arup Bose and Koushik Saha, CRC Press, 2019, xix + 192 pages, $174.95, hardcover ISBN: 978‐1‐1383‐5109‐7
by Jorma K. Merikoski
April 2020, Volume 88, Issue 1
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