Articles

Nyblom, J. (2015). Permutation Tests in Linear Regression. In K. Nordhausen, & S. Taskinen (Eds.), Modern Nonparametric, Robust and Multivariate Methods : Festschrift in Honour of Hannu Oja (pp. 69-90). Springer.doi:10.1007/978-3-319-22404-6_5

Nyblom, J. and Suomala, J. (2014) Tests for real and complex unit roots in vector autoregressive models. Journal of Multivariate Analysis, 130, 224--239.

http://dx.doi.org/10.1016/j.jmva.2014.05.012

Helske, J. and Nyblom, J. (2014) Improved frequentist prediction intervals for ARMA models by simulation. Book chapter in Knif, J. and Pape, B. (editors). Contributions to Mathematics, Statistics, Econometrics, and Finance: Essays in Honour of Professor Seppo Pynnönen. Acta Wasaensia 296, 71--86.

Mehtätalo, L., Nyblom, J., and Virolainen, A. (2014) A model-based approach for the recovery of forest attributes using ALS data. Book chapter in Maltamo, M., Naesset, E. and Vauhkonen, J. (editors). Forestry applications of airborne laser scanning- Concepts and Case Studies. Managing Forest Ecosystems, 27, 193--211. Springer: Netherlands.

Helske, J., Nyblom, J., Ekholm, P. and Meissner, K. (2013) Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models. Environmetrics, 24, 237--247.

http://dx.doi.org/10.1002/env.2204

Mehtätalo, L. and Nyblom, J. (2012). A Model-Based Approach for ALS Inventory: Application for Square Grid Spatial Pattern. Forest Science, 58, 106--118.

http://dx.doi.org/10.5849/forsci.10-023

Jyväsjärvi, J., Nyblom, J. and Hämäläinen, H. (2010). Palaeolimnological validation of estimated reference values for a lake profundal macroinvertebrate metric (Benthic Quality Index). Journal of Paleolimnology, 44, 253—264.

http://dx.doi.org/10.1007/s10933-009-9401-0

Kärkkäinen, S., Nyblom, J., Miettinen A., Turpeinen, T. and Pötschke, P. (2009). A stochastic shape model for fibres with an application to carbon nanotubes. Ecs – Proceedings of the 10th European Congress of ISS (V. capasso et al. Eds.) The MIRIAM Project Series, ESCULAPIO Pub. Co., Bologna.

Mehtätalo, L. and Nyblom, J. (2009). Estimating Forest Attributes Using Observations of Canopy Height: a Model-Based Approach. Forest Science, 55, 411-422.

Ahlgren, N. and Nyblom, J. (2008). Tests Against Stationary and Explosive Alternatives in Vector Autoregressive Models. Journal of Time Series Analysis, 29, 421--443.

Nyblom, J., Borgatti, S., Roslakka, J. and Salo, M.A. (2003). Statistical analysis of network data—an application to diffusion of innovation. Social Networks, 25, 175–195.

Nyblom, J. and Harvey, A.C. (2001). Testing against smooth stochastic trends. Special Issue in memory of J. Denis Sargan. Journal of Applied Econometrics, 16, 415–429.

Nyblom, J. (2001). Invariant tests for covariance structures in multivariate linear model. Journal of Multivariate Analysis, 76, 294–315.

Nyblom, J. and Harvey, A.C. (2000). Tests of common stochastic trends. Econometric Theory, 16, 176–199.

Alho, J.M. and Nyblom, J. (1997). Mixed estimation of old-age mortality. Mathematical Population Studies, 6, 319–330.

Hettmansperger, T.P., Nyblom, J. and Oja, H. (1994). Affine multivariate one-sample sign tests. Journal of the Royal Statistical Society, B, 56, 221–234.

Nyblom, J. and Pukkila, T.P. (1993). Information criterion as a multiple testing procedure. Journal of Statistical Planning and Inference, 36, 385–398.

Hettmansperger, T.P., Nyblom, J. and Oja, H. (1992). On multivariate notions of sign and rank. In: Y. Dodge, ed. L1-Statistical Analysis and Related Methods, 267–278. Amsterdam: Elsevier Science Publishers B.V.

Brown, B.M., Hettmansperger, T.P., Nyblom, J. and Oja, H. (1992). On certain bivariate sign tests and medians. Journal of the American Statistical Association, 87, 127–135.

Nyblom, J. (1992). Note on interpolated order statistics. Statistics and Probability Letters, 14, 129--131.

Niinimaa, A., Oja, H. and Nyblom, J. (1992). The Oja bivariate median. Algorithm AS277. Journal of the Royal Statistical Society, C, Applied Statistics, 41, 611–617.

Nyblom, J. (1989). Testing for the constancy of parameters over time. Journal of the American Statistical Association, 84, 223–230.

Oja, H. and Nyblom, J. (1989). Bivariate sign tests. Journal of the American Statistical Association, 84, 249–259.

Nyblom, J. (1986). Testing for deterministic linear trend in time series. Journal of the American Statistical Association, 81, 545–549.

Nyblom, J. (1985). Large deviation probabilities for the ratio of two quadratic forms in normal variables. Theory of Probability and Its Applications, 20, 141–143.

Nyblom, J. and Mäkeläinen, T. (1983). Comparisons of tests for the presence of random walk coefficients in a simple linear model. Journal of the American Statistical Association, 78, 856–864.

Nyblom, J. (1983). An application of the weighted least squares estimation to the compound Poisson regression model. In: Huuhtanen, P., Liski, E., Pukkila, T. and Puntanen, S., eds. Festschrift for Eino Haikala on His Seventieth Birthday, 89–98. Acta Universitatis Tamperensis, A 153. Tampere: University of Tampere.