115 V.M. Sierra, M.C. Pardo and A.M. Franco-Pereira

Advanced biomarker analysis for early Alzheimer's detection: a 3-class classification approach

 arXiv:2504.20577v1 [stat.ME], 2025.

114 P. Bhide, D.Y.L. Chan, M.C. Pardo, T. Perez, K.S. Khan and S. Thangaratinam

Response to: Evaluating time-lapse imaging systems for embryo incubation and selection in ART: a critical review of a randomized controlled trial 

Reproductive BioMedicine Online, 104938. DOI: 10.1016/j.rbmo.2025.104938, 2025.

113 G. Deliorman, A. Alonso and M.C. Pardo

A Rényi-Divergence-Based Family of Metrics for the Evaluation of Surrogate Endpoints in a Causal Inference Framework 

Statistics in Biopharmaceutical Research, 1–15. DOI: 10.1080/19466315.2025.2484009, 2025.

112 G. Deliorman, F. Stijven, W. Van der Elst, M.C. Pardo and A. Alonso

A Reflection on the Impact of Misspecifying Unidentifiable Causal Inference Models in Surrogate Endpoint Evaluation

arXiv:2410.04438 [stat.ME], 2024.

111 P. Bhide, D.Y.L. Chan, D. Lanz, O. Alqawasmeh, E. Barry, D. Baxter, F. González, Y. Choudhury, Y. Cheong, J.P.W. Chung, B. Collins, l. Cong, S. Doidge, J. Heighway, P. Deepali, M.C. Pardo, A. Rattos, A. Wright, J. Dodds, T. Pérez, K.S. Khan and S. Thangaratinam

Clinical effectiveness and safety of time-lapse imaging systems for embryo incubation and selection in in-vitro fertilisation treatment (TILT): a multicentre, three-parallel-group, double-blind, randomised controlled trial

The Lancet, 404(10449), 256-265, 2024.

110 A. García Hernández, T. Pérez, M.C. Pardo and D. Rizopoulos

An illness–death multistate model to implement delta adjustment and reference-based imputation with time-to-event endpoints

Pharmaceutical Statistics, 23(2), 219-241, 2024.

109 N. Alkan, M.C. Pardo and B.B. Alkan

Comparison of methods for handling outliers in Cox regression model

Journal of the National Science Foundation of Sri Lanka, 52(1), 59-68, 2024.

108 M.C. Pardo and B. Cobo 

Comparison of methods to testing for differential treatment effect under non-proportional hazards data 

Mathematical Biosciences and Engineering, 20(10), 17646-17660, 2023.

107 A.M. Franco-Pereira, M.C. Pardo, C.T. Nakas and B. Reiser 

Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specifcity with application to SARS-CoV-2 antibody data

SORT, 47(1), 1-18, 2023.

106 Bolou A, Drymoussi Z, Lanz D, et al 

Metformin in the prevention of type 2 diabetes after gestational diabetes in postnatal women (OMAhA): a UK multicentre randomised, placebo-controlled, double-blind feasibility trial with nested qualitative study 

BMJ Open,13:e073813, 2023.

105 A.M. Franco-Pereira, M.C. Pardo and T. Pérez

Non-parametric Testing of Non-inferiority with Censored Data

Trends in Mathematical, Information and Data Sciences (Springer), 339–348, ISBN: 978-3-031-04136-5, 2023.

104 A. García Hernández, T. Pérez, M.C. Pardo and D. Rizopoulos

A flexible analytical framework for reference-based imputation, delta adjustment and tipping-point stress-testing

Statistics in Biopharmaceutical Research, 15(4), 781-793, 2023.

103 T. Pérez, M.C. Pardo, Y. Cabellos, M. Peressini, I. Ureña-Vacas, D.R. Serrano and E. González-Burgos 

Mental health and drug use in college students: Should we take action?

Journal of Affective Disorders, 338, 32-40, 2023.

102 C.J. Salaroli and M.C. Pardo 

PYE: A Penalized Youden Index Estimator for selecting and combining biomarkers in high-dimensional data

Chemometrics and Intelligent Laboratory Systems, 236, 104786, 2023.

101 L. Green,J. Daru,F. J. Gonzalez Carreras,D. Lanz,M. C. Pardo,T. Pérez,S. Philip,T. Tanqueray and K. S. Khan

Early cryoprecipitate transfusion versus standard care insevere postpartum haemorrhage: a pilotcluster-randomised trial

Anaesthesia, 77(2) 175-184, 2022.

100 T. Pérez, A.M.Candela-Toha, L. Khalifi, A. Muriel and M.C. Pardo

Individualized prediction for the occurrence of acute kidney injury during the first postoperative week following cardiac surgery

Journal of Clinical Anesthesia, 77, 110596, 2022

99 C.E. Amaefule, Z. Drymoussi, F.J. Gónzalez, M.C. Pardo, D. Lanz, J. Dodds, L. Sweeney , E. Pizzo, A. Thomas, J. Heighway, J. Daru, S. Sobhy, L. Poston, A. Khalil, J. Myers, A. Harden, G. Hitman, K. Saeed, J. Zamora, T. Pérez, M.S.B. Huda and S. Thangaratinam 

Myo-inositol nutritional supplement for prevention of gestational diabetes (EMmY): a randomised, placebo-controlled, double-blind pilot trial with nested qualitative study 

BMJ Open, 12:e050110, 2022

98 M.C. Pardo and T. Pérez

Assessing the impact of the phase-out measures during COVID-19 pandemic, using regression models: a longitudinal observational study

BMJ Open, 12(11), 1-8, 2022.

97 M.C. Pardo, Q. Zhao, H. Jin and Y. Lu

Evaluation of Surrogate Endpoints Using Information-Theoretic Measure of Association Based on Havrda and Charvat Entropy

Mathematics, 10(3), 465, 2022.

96 M.C. Pardo, Y. Lu and A.M. Franco-Pereira

Extensions of empirical likelihood and chi-squared-based tests for ordered alternatives

Journal of Applied Statistics, 49(1), 24-43, 2022.

95 Bolou A, Lanz D, Drymoussi Z, et al

Acceptability and adherence to a Mediterranean diet in the postnatal period to prevent type 2 diabetes in women with gestational diabetes in the UK: a protocol for a single-arm feasibility study (MERIT)

BMJ Open, 11(12), 1-9, 2021.

94 A.M. Franco-Pereira, C.T. Nakas, B. Reiser and M.C. Pardo

Inference on the Overlap Coefficient: The binormal approach and alternatives

Statistical Methods in Medical Research, 30(12) 2672–2684, 2021.

93 R. Alonso, C.T. Nakas and M.C. Pardo

A study of indices useful for the assessment of diagnostic markers in non-parametric ROC curve analysis

Communications in Statistics: Simulation and Computation, 49(8), 2102-2113, 2020.

92 L. Bordes, M.C. Pardo, C. Paroissin and V. Patilea

Modified cox regression with current status data

arXiv:2002.10412 [math.ST], 2020

91 A. García Hernández, T. Pérez, M.C. Pardo and D. Rizopoulos

MMRM vs. joint modeling of longitudinal responses and time to study drug discontinuation in clinical trials using a ‘de jure’ estimand

Pharmaceutical Statistics, 19(6), 909-927, 2020.

90 A.M. Franco-Pereira, C.T. Nakas, C.G. Athanassiou and M.C. Pardo

Testing against umbrella or tree orderings for binomial proportions with an adaptation of an insect resistance case

Biometrical Journal, 62(6), 1367-1588, 2020.

89 L. Green, J. Daru, J. Dodds, et al

Effect of early cryoprecipitate transfusion versus standard care in women who develop severe postpartum haemorrhage (ACROBAT) in the UK: a protocol for a pilot cluster randomised trial

BMJ Open, 10(6), 1-8, 2020.

88 A.M. Franco-Pereira, C.T. Nakas and M.C. Pardo

Biomarker assessment in ROC curve analysis using the length of the curve as an index of diagnostic accuracy: the binormal model framework

AStA Advances in Statistical Analysis, 104, 625–647, 2020.

87 C.E. Amaefule, A. Bolou, Z. Drymoussi, et al

Effectiveness and acceptability of metformin in preventing the onset of type 2 diabetes after gestational diabetes in postnatal women: a protocol for a randomised, placebo-controlled, double-blind feasibility trial — Optimising health outcomes with Metformin to prevent diAbetes After pregnancy (OMAhA)

BMJ Open, 10(5), 1-9, 2020.

86 R. Alonso and M.C. Pardo

Assessing influence on the estimated coefficients efficiency in a Cox regression model

Journal of Statistical Computation and Simulation, 90(7), 1216-1229, 2020.

85 A.M. Franco-Pereira, C.T. Nakas, A.B. Leichtle and M.C. Pardo

Bootstrap-based testing approaches for the assessment of the diagnostic accuracy of biomarkers subject to a limit of detection

Statistical Methods in Medical Research, 28(5), 1564-1578, 2019.

84 M.C. Pardo and R. Alonso

Working correlation structure selection in GEE analysis

Statistical Papers, 60(5), 1447–1467, 2019.

83 A. Candela-Toha, M.C. Pardo, T. Pérez, A. Muriel and J. Zamora

Estimated Glomerular Filtration Rate as an early biomarker of Cardiac Surgery-Associated Acute Kidney Injury

Nefrología, 38(6), 596-605, 2018.

82 M.C. Pardo

Tools for Detecting Leverage and Influential Observations in Generalized Linear Models

The Mathematics of the Uncertain (Springer), 505-513, ISBN: 978-3-319-73847-5, 2018.

81 T. Pérez, M.C. Pardo, A. Candela, A. Muriel and J. Zamora.

Methods for Evaluating Medical Tests and Biomarkers. P13: Urinary biomarkers for acute kidney injury: study and validation

Diagnostic and Prognostic Research 1(Suppl 1):7, 2017.

80 M.C. Pardo and A.M. Franco-Pereira

Non parametric ROC summary statistics

REVSTAT, 15(4), 583–600, 2017.

79 E.J. Alegre, J. Díaz, F. Caballero, M.C. Pardo, T. Pérez, E. Figueroa, M.A. Moreno and C. Martínez

Area-based method for assessing survival benefit in Kaplan-Meier curves

European Journal of Clinical Pharmacy, 19(2) 105-111, 2017.

78 M.L. Avendaño and M.C. Pardo

A semiparametric generalized proportional hazards model for right-censored data

Annals of the Institute of Statistical Mathematics, 68(2), 353-384, 2016.

77 S. Datta, M.C. Pardo, T. Scheike, and K. Yuen

Special issue on advances in survival analysis

Computational Statistics & Data Analysis, 93, 255-256, 2016.

76 Y. Marhuenda, D. Morales and M.C. Pardo

Tests for the variance parameter in the Fay–Herriot model

Statistics, 50(1), 27-42, 2016.

75 M.C. Pardo and R. Alonso

A more general methodology for fitting global cross-ratio models for discrete longitudinal responses

Statistics, Volume 48(5), 1071-1091, 2014.

74 A. Biswas., M.C. Pardo and A. Guha

Auto-association measures for stationary time series of categorical data

TEST, 23 (3), 487-514, 2014.

73 M.C. Pardo and R. Alonso

GEEs for repeated categorical responses based on generalized residuals

Journal of Statistical Computation and Simulation, 84 (2), 344-359, 2014.

72 Y. Marhuenda, D. Morales and M.C. Pardo

Information criteria for Fay–Herriot model selection

Computational Statistics & Data Analysis, 70, 268–280, 2014.

71 M.C. Pardo and T. Hobza

Outlier detection method in GEEs

Biometrical Journal, 56(5), 838–850, 2014.

70 M.C. Pardo and T. Pérez

Analysis of housing prices by GEE and GLMM methodologies: a longitudinal study

Applied Stochastic Models in Business and Industry, 29(5), 552–563, 2013.

69 N. Balakrishnan, M.C. Pardo and M.L. Avendaño

Generalized Logit-Based Proportional Hazards Models and Their Applications in Survival and Reliability Analyses

Stochastic Reliability and Maintenance Modeling (Springer),1-16, ISBN: 978-1-4471-4970-5, 2013.

68 L. Pardo and M.C. Pardo

Julio Angel Pardo Llorente, 1960–2013 (Associate Editor of Statistical Papers)

StatIstical Papers 54, 1147–1149, 2013 

67 M.C. Pardo and R. Alonso

A generalized Q–Q plot for longitudinal data

Journal of Applied Statistics, 39(11), 2349-2362, 2012.

66 M.C. Pardo and P. Viviani

Graphical diagnostics methods based on Generalized Residuals for Logistic Regression Models

Pakistan Journal of Statistics, 28(4), 495-512, 2012.

65 M.C. Pardo and R. Alonso

Influence measures based on the volume of confidence ellipsoids for GEE

Biometrical Journal, 54(4), 552–567, 2012.

64 M.C. Pardo

Comments on: Nonparametric inference based on panel count data by Xingqiu Zhao, N. Balakrishnan and Jianguo Sun

TEST, 20(1), 54-57, 2011.

63 M.C. Pardo and J.A. Pardo

Detection of outlying points in ordered polytomous regression

Modern Mathematical Tools and Techniques in Capturing Complexity (Springer), 207-222, ISBN: 978-3-642-20853-9, 2011.

62 M.C. Pardo

Testing Equality Restrictions in Generalized Linear Models for Multinomial Data

Metrika, 2, 231-253, 2011.

61 M.L. Menéndez, L. Pardo, M.C. Pardo and K. Zografos

Testing the order of Markov dependence in DNA sequences

Methodology and Computing in Applied Probability, 13 (1), 59-74, 2011.

60 M.C. Pardo

High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data

Advances in Data Analysis (Birkhauser), 67-80, ISBN: 978-0-8176-4798-8, 2010.

59 M.L. Menéndez, L. Pardo and M.C. Pardo

Confidence Sets and Coverage Probabilities based on Preliminary Estimators in Logistic Regression Models

Journal of Computational and Applied Mathematics, 224(1), 193–203, 2009.

58 M.L. Menéndez, L. Pardo and M.C. Pardo

Preliminary Phi-divergence Test Estimators for Linear Restrictions in a Logistic Regression Model

Statistical Papers, 50(2), 277-300, 2009.

57 J.A. Pardo and M.C. Pardo

Selecting and checking a binomial response Generalized Linear Model using phi-divergences

Journal of Statistical Planning and Inference, 139, 3038-3049, 2009.

56 M.L. Menéndez, L. Pardo and M.C. Pardo

Stein-type estimation in Logistic Regression Models based on minimum Φ-divergence estimators

Journal of the Korean Statistical Society, 38(1), 73-86, 2009.

55 L. Pardo and M.C. Pardo

An extension of Likelihood-ratio-test for testing Linear hypothesis in the Baseline-Category Logit Model

Computational Statistics and Data Analysis, 52(3), 1477–1489, 2008.

54 M.C. Pardo

Discussion of “Construction of multivariate distributions: a review of some recent results” by José María Sarabia and Emilio Gómez-Déniz

SORT, 32(1), 39-42, 2008.

53 J.A. Pardo and M.C. Pardo

Generalized Linear Models Diagnostics for Binary Data using Divergence Measures

Advances in Mathematical and Statistical Modeling (Birkhäuser), 279-289, ISBN: 978-0-8176-4625-7, 2008.

52 J.A. Pardo and M.C. Pardo

Minimum phi-divergence estimator and phi-divergence statistics in Generalized linear models with binary data

Methodology and Computing in Applied Probability, 10(3), 357-379, 2008.

51 M.L. Menéndez, L. Pardo and M.C. Pardo

Preliminary Test Estimators and Phi-Divergence Measures in Generalized Linear Models with Binary Data

Journal of Multivariate Analysis, 99(10), 2265-2284, 2008.

50 J.A. Pardo, L. Pardo and M.C. Pardo

A simulation study of a nested sequence of binomial regression models

Statistics, 41(3), 253-267, 2007.

49 J.A. Pardo and M.C. Pardo

A simulation study of a new family of test statistics for the Behrens-Fisher problem

Kybernetes, 36(5-6), 806-816, 2007.

48 J.A. Pardo, L. Pardo and M.C. Pardo

Minimum Φ-divergence estimator in logistic regression models

Statistical Papers, 47, 91-108, 2006.

47 J.A. Pardo, L. Pardo and M.C. Pardo

Testing in logistic regression models based on Φ-divergence measures

Journal of Statistical Planning and Inference, 136, 982-1006, 2006.

46 Y. Marhuenda, D. Morales and M.C. Pardo

A Comparison of Uniformity Tests

Statistics, 39(4), 315-328, 2005.

45 Y. Marhuenda, D. Morales, J.A. Pardo and M.C. Pardo

Choosing the best Rukhin goodness-of-fit statistics

Computational Statistics and Data Analysis, 49(3), 643-662, 2005.

44 L. Pardo and M.C. Pardo

Nonadditivity in loglinear models using Φ-divergence and MLEs

Journal of Statistical Planning and Inference, 127(1-2), 237-252, 2005.

43 Y. Marhuenda, D. Morales, J.A. Pardo and M.C. Pardo

Rukhin's uniformity test based on sample quantiles

Journal of Statistical Computation and Simulation, 75(3), 217-235, 2005.

42 J.A. Pardo, L. Pardo, M.C. Pardo and K. Zografos

An exploratory canonical analysis approach for multinomial populations based on the Φ-divergence measure

Kybernetika, 40(6), 757-776, 2004.

41 Y. Marhuenda, D. Morales, J.A. Pardo and M.C. Pardo

On the Selection of the Best Rukhin’s Statistic for the Uniform Exact Distribution Function

Soft Methodology and Random Information Systems (Springer), 331-338, ISBN: 3-540-22264-2, 2004.

40 D. Morales, L. Pardo, M.C. Pardo and I. Vajda

Rényi statistics for testing composite hypotheses in general exponential models

Statistics, 38(2), 133-147, 2004.

39 J.A. Pardo and M.C. Pardo

Testing a Hierarchical Sequence of Linear Logistic Models

Soft Methodology and Random Information Systems (Springer), 347-354, ISBN: 978-3-540-22264-4, 2004.

38 M.C. Pardo

A test for uniformity based on Informational Energy

Statistical Papers, 44, 521-534, 2003.

37 D. Morales, L. Pardo, M.C. Pardo and I. Vajda

Limit laws for disparities of spacings

Journal of Nonparametric Statistics, 15(3), 325-342, 2003.

36 L. Pardo and M.C. Pardo

Minimum power-divergence in three-way contingency tables

Journal of Statistical Computation and Simulation, 73(11), 819-831, 2003.

35 M.C. Pardo and I. Vajda

On asymptotic properties of Information-Theoretic divergences

IEEE Transactions on Information Theory, 49(7), 1860-1868, 2003.

34 N. Cressie, L. Pardo and M.C. Pardo

Size and power considerations for testing loglinear models using Φ-divergence test statistics

Statistica Sinica, 13(2), 555-570, 2003.

33 M.C. Pardo

Goodness-of-fit tests based on Rao's divergence under sparseness assumptions

Applied Mathematics and Computation, 130(2-3), 265-283, 2002.

32 D. Morales, L. Pardo and M.C. Pardo

Likelihood divergence statistics for testing hypotheses about multiple population

Communications in Statistics: Simulation and Computation, 30(4), 867-884, 2001.

31 L. Pardo, M.C. Pardo and K. Zografos

Minimum φ-divergence estimator for homogeneity in multinomial populations

Sankhya, 63, Series A, Pt. 1, 72-92, 2001.

30 D. Morales, L. Pardo, M.C. Pardo and I. Vajda

Extension of the Wald statistic to models with dependent observations

Metrika, 52, 97-113, 2000.

29 M.C. Pardo

Second order asymptotic distribution of the RΦ-divergence goodness-of-fit statistics

Kybernetika, 36(4), 437-454, 2000.

28 M.C. Pardo and J.A. Pardo

Use of Renyi's divergence to test for the equality of the coefficients of variation

Journal of Computational and Applied Mathematics, 116(1), 93-104, 2000.

27 M.C. Pardo

Estimation of parameters for a mixture of normal distributions on the basis of the Cressie and Read divergence

Communications in Statistics: Simulation and Computation, 28(1), 115-130, 1999.

26 L. Pardo, M.C. Pardo and K. Zografos

Homogeneity for multinomial populations based on Φ-divergences

Journal of the Japan Statistical Society, 29(2), 213-228, 1999.

25 M.C. Pardo

Nested models for categorical data

Information Sciences, 118, 269-278, 1999.

24 M.C. Pardo

On Burbea-Rao divergence based goodness-of-fit tests for multinomial models

Journal of Multivariate Analysis, 69, 65-87, 1999.

23 J.A. Pardo and M.C. Pardo

Small-sample comparisons for the Rukhin goodness-of-fit statistics

Statistical Papers, 40(2), 159-174, 1999.

22 M.C. Pardo

Testing stationary distributions of Markov chains based on Rao's divergence

Applied Mathematics Letters, 12, 31-36, 1999.

21 M.L. Menéndez, J.A. Pardo and M.C. Pardo

Estimators based on sample quantiles using (h,φ)-entropy measures

Applied Mathematics Letters, 11(4), 99-104, 1998.

20 M.C. Pardo

Goodness-of-fit tests for stationary distributions of Markov chains based on Rao's divergence

Information Sciences, 105(1-4), 115-122, 1998.

19 M.C. Pardo

Improving the accuracy of goodness-of-fit tests based on Rao's divergence with small sample size

Computational Statistics and Data Analysis, 28(4), 339-351, 1998.

18 M.C. Pardo

A comparison of some estimators of the mixture proportion of mixed normal distributions

Journal of Computational and Applied Mathematics, 84, 207-217, 1997.

17 J.A. Pardo, M.C. Pardo, M.L. Vicente and M.D. Esteban

A statistical information theory approach to compare the homogeneity of several variances

Computational Statistics and Data Analysis, 24(4), 411-416, 1997.

16 M.C. Pardo and I. Vajda

About distances of discrete distributions satisfying the data processing theorem of Information Theory

IEEE Transactions on Information Theory, 43(4), 1288-1293, 1997.

15 M.L. Menéndez, J.A. Pardo, L. Pardo and M.C. Pardo

Asymptotic approximations for the distributions of the (h,Φ)-divergence goodness-of-fit statistics: Application to Renyi's statistic

Kybernetes, 26(4), 442-452, 1997.

14 M.C. Pardo

Asymptotic behaviour of an estimator based on Rao's divergence

Kybernetika, 33(5), 489-504, 1997.

13 M.C. Pardo, M.L. Vicente, M.D. Esteban and J.A. Pardo

Testing hypotheses in truncated samples by means of divergence statistics

Communications in Statistics: Simulation and Computation, 26(2), 707-732, 1997.

12 M.L. Menéndez, J.A. Pardo, L. Pardo and M.C. Pardo

The Jensen-Shannon divergence

Journal of the Franklin Institute, 334B(2), 307-318, 1997

11 M.C. Pardo and J.A. Pardo

A comparison of a new family of goodness-of-fit statistics

Information Sciences, 95(1-2), 59-70, 1996.

10 M.C. Pardo

An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables

Kybernetika, 32(2), 175-183, 1996.

9 M.C. Pardo

Estimadores de mínima Divergencia de Rao: Comportamiento Asintótico y Aplicación a Contrastes de Hipótesis

Ph. D. Dissertation, Faculty of Mathematics, Complutense University of Madrid, Spain. ISBN: 84-669-0713-0, 1996.

8 J.A. Pardo, M.C. Pardo, M.L. Vicente and M.D. Esteban

Informational Energy test for equality of variances

Advances in Intelligent Computing, Ed. Springer, 241-247, ISBN: 978-3-540-60116-6, 1995.

7 M.D. Esteban, J.A. Pardo, M.C. Pardo and M.L. Vicente

On the use of divergence statistics to make inferences about three habitats

Kybernetes, 24(1), 44-54, 1995.

6 M.C. Pardo and J.A. Pardo

Statistical applications of order α-β weighted information energy

Applications of Mathematics, 40(4), 305-317, 1995.

5 M.C. Pardo

Test of independence for multidimensional contingency tables based on (h,Φ)-divergence measures

Utilitas Mathematica, 48, 75-91, 1995.

4 M.C. Pardo and J.A. Pardo

A test for independence based on the Information Energy

Journal of the Franklin Institute, 331B(1), 13-22, 1994.

3 M.C. Pardo, M.D. Esteban, D. Morales and J.A. Pardo

An analitic study of the asymptotic difference between different hypoentropy statistics

Statistica, LIV(1), 61-75, 1994.

2 M.C. Pardo

On testing independence in multidimensional contingency tables with stratified random sampling

Information Sciences, 78, 101-118, 1994.

1 M.C. Pardo

Un contraste de normalidad basado en la Energía Informacional

Qüestiió, 17(2), 221-233, 1993.