References
- E. Aguilar, I. Auer, M. Brunet, T.C. Peterson, and J. Wieringa, Guidelines on Climate Metadata and Homogenization, World Meteorological Organization, WMO/TD No. 1186, 2003. Available at https://www.wmo.int/datastat/documents/WCDMP-53_1.pdf (Accessed 1/May/2016).
- H. Alexandersson, A homogeneity test applied to precipitation data, Int. J. Climatol. 6 (1986), pp. 661–675. doi: 10.1002/joc.3370060607
- H. Alexandersson and A. Moberg, Homogenization of Swedish temperature data. Part I: homogeneity test for linear trends, Int. J. Climatol. 17 (1997), pp. 25–34. doi: 10.1002/(SICI)1097-0088(199701)17:1<25::AID-JOC103>3.0.CO;2-J
- B.H. Baltagi, Econometrics (5th ed.) – Springer Texts in Business and Econometrics, Springer, New York, 2011, ISBN: 978-3642200588.
- C. Beaulieu, O. Seidou, T.B.M.J. Ouarda, X. Zhang, G. Boulet, and A. Yagouti, Intercomparison of homogenization techniques for precipitation data, Water Resour. Res. 44 (2008), p. W02425, doi:10.1029/2006WR005615.
- J.V. Bradley, Distribution-free Statistical Tests, Prentice Hall, Englewood Cliffs, New York, 1968.
- H. Caussinus and O. Mestre, Detection and correction of artificial shifts in climate series, Appl. Statist. 53 (2004), pp. 405–425.
- M. Csorgo and L. Horvath, Limit Theorems in Change-Point Detection, Wiley & Sons, Chichester, 1997, ISBN: 978-0-471-95522-1.
- P.M. Della Marta and H. Wanner, A method of homogenization the extremes and mean of daily temperature measurements, J. Climate 19 (2006), pp. 4179–4197. doi: 10.1175/JCLI3855.1
- P. Domonkos, Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods, Theory Appl. Climatol. 105 (2011), pp. 455–467. doi:10.1007/s00704-011-0399-7.
- P. Domonkos, Measuring performances of homogenization methods, Idöjárás 117 (2013), pp. 91–112.
- J.F. Ducrè-Robitaille, L.A. Vincent, and G. Boulet, Comparison of techniques for detection of discontinuities in temperature series, Int. J. Climatol. 23 (2003), pp. 1087–1101. 10.1002/joc.924. doi: 10.1002/joc.924
- B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chapman & Hall/CRC, Boca Raton, London, FL, 1993, ISBN 0412042312.
- J.D. Gibbons and S. Chakraborti, Nonparametric Statistical Inference, 5th ed., Statistics: Textbooks & Monographs, Chapman and Hall/CRC Press – Taylor & Francis Group, Boca Raton – London – NewYork, 2011, ISBN-13: 978-1-4200-7762-9 (Ebook-PDF).
- A. Hannart and P. Naveau, Bayesian multiple change points and segmentation: Application to homogenization of climatic series, Water Resour. Res. 45 (2009), p. W10444. 10.1029/2008WR007689.
- D.M. Hawkins, Testing a sequence of observations for a shift in location, J. Amer. Statist. Assoc. 72 (1977), pp. 180–186. doi: 10.1080/01621459.1977.10479935
- D.M. Hawkings, Fitting multiple change-points to data, Comput. Statist. Data Anal. 37 (2001), pp. 323–341. doi: 10.1016/S0167-9473(00)00068-2
- M.N. Khaliq and T.B.M.J. Ouarda, Short communication on the critical values of the standard normal homogeneity test (SNHT), Int. J. Climatol. 27 (2007), pp. 681–687. doi: 10.1002/joc.1438
- F. Kiviet, Monte Carlo simulation for econometricians, Found. Trends Econ. 5 (2011), pp. 1–181. doi:10.1561/0800000011, (2012) ISBN-10: 160198538X, ISBN-13: 978-1601985385.
- H.W. Lilliefors, On the Komogorov-Smirnov test for normality with mean and variance unknown, J. Amer. Statist. Assoc. 62 (1967), pp. 399–402. doi: 10.1080/01621459.1967.10482916
- G.M. Ljung and G.E.P. Box, On a measure of a lack of fit in time series models, Biometrika 65 (1978), pp. 297–303. doi:10.1093/biomet/65.2.297.
- M.J. Menne and C.N. Jr. Williams, Detection of undocumented changepoints using multiple test statistics and composite reference series, J. Climate 18 (2005), pp. 4271–4286. 10.1175/JCLI3524.1. doi: 10.1175/JCLI3524.1
- T.C. Peterson, D.R. Easterling, R.K. Thomas, P. Groisman, N. Nicholls, N. Plummer, S. Torok, I. Auer, R. Boehm, D. Gullett, L. Vincent, R. Heino, T. Heikki, O. Mestre, T. Szentimrey, J. Salinger, E.J. Førland, I. Hanssen-Bauer, H. Alexandersson, P. Jones, and D. Parker, Homogeneity adjustments of in situ atmospheric climate data: a review, Int. J. Climatol. 18 (1998), pp. 1493–1517. http://dx.doi.org/10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T
- J. Reeves, J. Chen, X.L. Wang, R. Lund, and Q. Lu, A review and comparison of changepoint detection techniques for climate data, J. Appl. Meteorol. Climatol. 46 (2007), pp. 900–915. doi: 10.1175/JAM2493.1
- M. Rienzner and C. Gandolfi, A composite statistical method for the detection of multiple undocumented abrupt changes in the mean value within a time series, Int. J. Climatol. 31 (2011), pp. 742–755. doi:10.1002/joc.2113.
- M. Rienzner and C. Gandolfi, A procedure for the detection of undocumented multiple abrupt changes in the mean value of daily temperature time series of a regional network, Int. J. Climatol. 33 (2013), pp. 1107–1120. doi:10.1002/joc.3496.
- H.W. Rust, O. Mestre, and V.K.C. Venema, Fewer jumps, less memory: Homogenized temperature records and long memory, J. Geophys. Res, D, Atmos. 113 (2008), p. d19. 10.1029/2008JD009919. doi: 10.1029/2008JD009919
- V.K.C. Venema, O. Mestre, E. Aguilar, I. Auer, J.A. Guijarro, P. Domonkos, G. Vertacnik, T. Szentimrey, P. Stepanek, P. Zahradnicek, J. Viarre, G. Müller-Westermeier, M. Lakatos, C.N. Williams, M.J. Menne, R. Lindau, D. Rasol, E. Rustemeier, K. Kolokythas, T. Marinova, L. Andresen, F. Acquaotta, S. Fratianni, S. Cheval, M. Klancar, M. Brunetti, C. Gruber, M. Prohom-Duran, T. Likso, P. Esteban, and T. Brandsma, Benchmarking homogenization algorithms for monthly data, Clim. Past. 8 (2012), pp. 89–115. doi: 10.5194/cp-8-89-2012