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  1. Anderberg, M. R. (ed.) (1973), Cluster Analysis for Applications (Probability & Mathematical Statistics Monograph), Academic Press, ISBN 0-120-57650-3.
  2. Bjoernsson, H. and S. A. Venegas (1997), A Manual for EOF and SVD Analyses of Climatic Data, McGill University.
  3. de Elia, R. and E. Laprise (2005), The Unbearable Lightness of ProbabilitiesBull. Amer. Met. Soc., 1224–1225, doi:10.1175/BAMS-86-9-1224.
  4. Evensen, G. (2009), Data Assimilation - The Ensemble Kalman Filter Second Edition, Springer, ISBN 978-3-642-03710-8, doi:10.1007/978-3-642-03711-5.
  5. Gay, D. M. (1983), A Trust-Region Approach to Linearly Constrained Optimization, xxxx.
  6. Hamilton, D. J., W. A. Sandham, J. McQueen, and A. Blanco (1998), Electrocardiogram Data Compression by Estimation on Higher-Index Principal ComponentsApplied Signal Processin, 5, 49–58.
  7. Heer, C. V. (1972), Statistical Mechanics, Kinetic Theory, and Stochastic Processes, Ohio State University.
  8. Hoffmann, R. N. and D. W. Johnson (1994), Application of EOF`s to Multispectral Imagery: Data Compression and Noise Detection for AVIRISIEEE T. Geosci. Remote, 32(1), 25–33.
  9. Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisProc. R. Soc. Lond. A, 454(1971), 903–995, doi:10.1098/rspa.1998.0193.
  10. Hui, A. K., B. H. Armstrong, and A. A. Wray (1977), Rapid computation of the Voigt and complex error functionsJ. Quant. Spectrosc. Radiat. Transfer, 19, 509–516.
  11. Lagendijk, E. (xx), Six Ways to Solve a "Simple" Problem: Fitting a Straight Line to Measurement Data, Department of Applied Physics.
  12. Lanzante, J. R. (1996), Resistant, Robust and Non-Parametric Techniques for the Analysis of Climate Data: Theory and Examples, including Applications to Historical Radiosonde Station DataInt. J. Climatol., 16, 1197–1226.
  13. Lathauwer, L. de, B. de Moor, and J. Vandewalle (2000), A multilinear singular value decompositionSiam J. Matrix Anal. Appl., 21(4), 1253–1278.
  14. Ma, Q. and R. H. Tipping (2002), The frequency detuning correction and the asymmetry of line shapes: The far wings of H2O-H2J. Chem. Phys., 116(10), 4102–4115.
  15. Moler, C. B. and C. F. Van Loan (2004), Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years LaterSIAM Review, 45(1), 3–49.
  16. Peach, G. (1975), The Width of Spectral LinesContemp. Phys., 16(1), 17–34.
  17. Petersson, J. and K. Holmstroem (1998), A Review of the Parameter Estimation Problem of Fitting Positive Exponential Sums to Empirical Data, Maelardalen University.
  18. Petty, G. W. and W. Huang (2011), The Modified Gamma Size Distribution Applied To Inhomogeneous and Nonspherical Particles: Key Relationships and ConversionsJ. Atmos. Sci., 68, 1460–1473, doi:10.1175/2011JAS3645.1.
  19. Ready, P. J. and P. A. Wintz (1973), Information Extraction, SNR Improvement, and Data Compression in Multispectral ImageryIEEE T. Comm., Com-21(10), 1123–1130.
  20. Rodgers, C. D. and B. J. Connor (2003), Intercomparison of remote sounding instrumentsJ. Geophys. Res., 108(D3), 4116, doi:10.1029/2002JD002299.
  21. Rodgers, C. D. (1990), Characterization and Error Analysis of Profiles Retrieved From Remote Sounding MeasurementsJ. Geophys. Res., 95(D5), 5587–5595.
  22. Rodgers, C. D. (1995), Satellite remote sensing: The Inverse Problem, In: The Stratosphere and its Role in the Climate System.
  23. Roney, P. L. (1994), Theory of spectral line shape. II. Collision time theory and the line wingJ. Chem. Phys., 101(2), 1050–1060.
  24. Roney, P. L. (1994), Theory of spectral line shape. I. Formulation and line couplingJ. Chem. Phys., 101(2), 1037–1049.
  25. Schlitzer, R. (1111), Mathematische Methoden fuer Physiker und Geophysiker, , Vorlesungsscript.
  26. Schreier, F. (1992), The Voigt and complex error function: a comparison of computational methodsJ. Quant. Spectrosc. Radiat. Transfer, 48(5/6), 743–762.
  27. Schutter, B. de and B. de Moor (1998), The QR decomposition and the singular value decomposition in the symmetrized max-plus algebraSiam J. Matrix Anal. Appl., 19(2), 378–406.
  28. Schwab, J. J., R.-J. Pan, and J. Zhang (1996), What constitutes a valid intercomparison of satellite and in situ stratospheric H20 measurements?J. Geophys. Res., 101(D1), 1517–1528.
  29. Sinnwell, T., S. Sinnwell, and K.-D. Becker (1998), Efficient Implementation of the Discrete Wavelet Transform on Digital Signal ProcessorsAppl. Sign. Proc., 5, 96–110.
  30. Smith, W. L. and H. M. Woolf (1976), The Use of Eigenvectors of Statistical Covariance Matrices for Interpreting Satellite Sounding Radiometer ObservationsJ. Atmos. Sci., 33(7), 1127–1140.
  31. Stedman, G. E. (1968), Green's FunctionContemp. Phys., 9(1), 49–69.
  32. Stephens, G. (1984), The Parametrization of Radiation for Numerical Weather Prediction and Climate ModelsMon. Weather Rev., 112, 826–867.
  33. Venema, V., F. Ament, and C. Simmer (2006), A Stochastic Iterative Amplitude Adjusted Fourier Transform algorithm with improved accuracyNonlin. Processes. Geophys., 13, 321–328.
  34. Wodkiewicz, K. and N. H. Cong (1111), Stochastic Model of Line Shapes, Warsaw University.
  35. Zdunkowski, W: and G. Korb (1111), Numerische Methoden zur Loesung der Strahlenuebertragungsgleichung, xxxx.