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Jan Hauke

Personal Details

First Name:Jan
Middle Name:
Last Name:Hauke
Suffix:
RePEc Short-ID:pha910

Affiliation

Instytut Geografii Społeczno-Ekonomicznej i Gospordaki Przestrzennej
Uniwersytet im. Adama Mickiewicza

Poznan, Poland
http://www.igsegp.amu.edu.pl/

: +48618296135
+48618296127
Dziegielowa 27, 61-680 Poznan
RePEc:edi:igamupl (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Czyż Teresa & Hauke Jan, 2015. "Entropy In Regional Analysis," Quaestiones Geographicae, De Gruyter Open, vol. 34(4), pages 69-78, December.
  2. Kossowski Tomasz & Hauke Jan, 2012. "Analysis of the Labour Market in Metropolitan Areas: A Spatial Filtering Approach," Quaestiones Geographicae, De Gruyter Open, vol. 31(2), pages 39-48, June.
  3. Czyż Teresa & Hauke Jan, 2011. "Evolution of Regional Disparities in Poland," Quaestiones Geographicae, De Gruyter Open, vol. 30(2), pages 35-48, June.
  4. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, De Gruyter Open, vol. 30(2), pages 87-93, June.
  5. Jan Hauke, 2008. "Quantitative "Eco"-nomics: How sustainable are our economies? by Peter Bartelmus," International Statistical Review, International Statistical Institute, vol. 76(3), pages 454-454, December.
  6. Jan Hauke, 2008. "Probably Not: Future Prediction Using Probability and Statistical Inference by Lawrence N. Dworsky," International Statistical Review, International Statistical Institute, vol. 76(3), pages 455-455, December.
  7. Jan Hauke & Augustyn Markiewicz, 1994. "Comparison of experiments via a group majorization ordering," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 41(1), pages 201-209, December.
  8. Baksalary, Jerzy K. & Hauke, Jan, 1984. "Inheriting independence and chi-squaredness under certain matrix orderings," Statistics & Probability Letters, Elsevier, pages 35-38.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Czyż Teresa & Hauke Jan, 2011. "Evolution of Regional Disparities in Poland," Quaestiones Geographicae, De Gruyter Open, vol. 30(2), pages 35-48, June.

    Cited by:

    1. Rokicki, Bartlomiej & Hewings, Geoffrey J.D., 2016. "Regional convergence within particular country — An approach based on the regional price deflators," Economic Modelling, Elsevier, vol. 57(C), pages 171-179.

  2. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, De Gruyter Open, vol. 30(2), pages 87-93, June.

    Cited by:

    1. Marcel Clermont & Alexander Dirksen & Barbara Scheidt & Dirk Tunger, 2017. "Citation metrics as an additional indicator for evaluating research performance? An analysis of their correlations and validity," Business Research, Springer;German Academic Association for Business Research, vol. 10(2), pages 249-279, October.
    2. Bouchra Zellou & Hassane Rahali, 2017. "Assessment of reduced-complexity landscape evolution model suitability to adequately simulate flood events in complex flow conditions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 1-29, March.
    3. Judit Bar-Ilan & Mark Levene, 2015. "The hw-rank: an h-index variant for ranking web pages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2247-2253, March.
    4. Romo Urroz, Juan & Lillo Rodríguez, Rosa Elvira & Valencia García, Dalia Jazmin, 2013. "Spearman coefficient for functions," DES - Working Papers. Statistics and Econometrics. WS ws133329, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Severini, Simone & Tantari, Antonella & Di Tommaso, Giuliano, 2016. "The instability of farm income. Empirical evidences on aggregation bias and heterogeneity among farm groups," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(1), April.
    6. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    7. D. Yoon, 2012. "Assessment of social vulnerability to natural disasters: a comparative study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 823-843, September.
    8. Maricic, Milica & Bulajic, Milica & Dobrota, Marina & Jeremic, Veljko, 0. "Redesigning The Global Food Security Index: A Multivariate Composite I-Distance Indicator Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4.
    9. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.

  3. Baksalary, Jerzy K. & Hauke, Jan, 1984. "Inheriting independence and chi-squaredness under certain matrix orderings," Statistics & Probability Letters, Elsevier, pages 35-38.

    Cited by:

    1. Mosić, Dijana & Djordjević, Dragan S., 2015. "Weighted pre-orders involving the generalized Drazin inverse," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 496-504.
    2. Hernández, A. & Lattanzi, M. & Thome, N., 2015. "Weighted binary relations involving the Drazin inverse," Applied Mathematics and Computation, Elsevier, vol. 253(C), pages 215-223.

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