CONTENTS // Introduction // Marie Budíková // Confìdence Intervals for the Kernel Estimator of the Regression Function in the Stochastic Design Model // Ivana Horová, Marie Budíková // Multivariate Kernel Estimators // Ivana Horová // Boundary Kernels // Jiří Kobza, Radek Kučera // Spline Toolbox in MATLAB // Jiří Kobza // Quadratic and Quartic Splines in MATLAB // Lubomír Kubáček // Some Statistical Properties of MINQUE // Ludmila Kubáčková // Efficient Transformation of Data Inňuenced by Systematic Effects // Pavla Kunderová // Multivariate Linear Model with Nuisance Parameters // Jaroslav Michálek // Application of Kernel Smoothing to Additive Models // Jaroslav Michálek // Kernel Smoothing with Variable Bandwidth // 1 // 3 // 7 // 17 // 25 // 47 // 67 // 79 // 95 // 103 // 113Luboš Bauer, Miloslav Mikulík // The Least Squares Problem with Linear Equality // Constraints // Miloslav Mikulík // The Algorithm for Cubic Spline of the Prescribed Shape // for the Given Data // Miloslav Mikulík // Shape Preserving C1 Cubic Splines // Ladislav Skula // Application of Generalized Inverses in Linear Models // Ladislav Skula // Involutions of Matrices and Generalized Least Squares // Solution // Jan Stecha, Vladimir Havlena // Smoothing in Simultaneous State and Parameter Estimation in a Linear System // Osvald Vašíček // Bayesian Identification of Macroeconomic Model // Petr Veselý // Structure and Reliability of Binary Systems // Vítězslav Veselý
// Kernel Smoothing as a Regularization of a Singular // Distribution // Jiří Zelinka // Boundary Kernels - Usage and Results // Jiří Zelinka // Multivariate Density Estimation // 129 // 133 // 139 // 143 // 147 // 153 // 169 // 187 // 193 // 201 // 205 // Ü