Puntanen, Simo

name

• Puntanen, Simo

Authored works

• A conversation with Sujit Kumar Mitra in 1993 and some comments on his research publications
• A personal guide to the literature in matrix theory for statistics and some related topics
• Definitions and facts for linear statistical models and multivariate statistical analysis using linear algebra
• Examples of the use of MIMOSA in the teaching of regression analysis
• Examples of the use of SURVO 84C in the teaching of statistics
• Examples of the use of Survo in teaching regression concepts
• Exercises in linear models and related matrix theory
• Exercises in regression analysis and related matrix theory : 2
• Formulas useful for regression analysis and related matrix theory
• Further examples of the use of SURVO in teaching regression analysis
• Issai Schur (1875-1941) and the early development of the Schur complement, with applications to statistics and probability
• Matriiseja tilastotieteilijälle
• Matrix tricks for linear statistical models : our personal Top Thirteen
• More properties of the BLUE's covariance matrix in the general linear model
• On the equality of the ordinary least squares estimator and the best linear unbiased estimator
• On the relative goodness of ordinary least squares estimation in the general linear model
• Properties of the canonical correlations between the least squares fitted values and the residuals
• Properties of the covariance matrix of the blue in the general linear model
• Shuffling cards by SURVO 84C
• Solutions to four problems recently posed in Econometric Theory
• Some aspects of the efficiency of ordinary least squares estimators relative to best linear unbiased estimators
• Some comments on "simple forms of the best linear unbiased predictor in the general linear regression model" by Silvia N. Elian
• Some further remarks on the singular linear model
• Some further results related to reduced singular linear models
• Some matrix results related to a deletion of an observation in a singular linear model
• Some remarks on the parallel sum of two matrices
• The use of KONSTA : an interactive computer system for the illustration of statistical concepts, in the teaching of statistics
• The use of MATRIX : an interactive computer system for the analysis of matrices, in the teaching of statistics
• Tilastotieteen peruskurssi II:n harjoitustehtäviä
• Two matrix-based proofs that the linear estimator Gy is the best linear unbiased estimator
• Yleistetyistä käänteismatriiseista ja niiden sovelluksista lineaarisissa tilastollisissa malleissa

Works contributed to

• A complete solution to the problem of robustness of Grubbs's test
• A connection between the partial correlation coefficient and the correlation coefficient of certain residuals
• A counterexample to a conjecture of Magness and McGuire
• A further note on a theorem on the difference of the generalized inverses of two nonnegative definite matrices
• A guide to books on matrices and on inequalities, with statistical & other applications
• A multivariate version of Samuelson's inequality
• A percentile regression model with an application to error frequency in group conversation tests
• A property of partitioned generalized regression
• A property of the dispersion matrix of the best linear unbiased estimator in the general Gauss-Markov model
• A property of the partial correlation coefficient
• A remark on pseudo-generalized least squares
• A statistical analysis of the results of group conversion tests in spoken English
• A statistical study of Finnish university students' use of foreign languages
• A study of the statistical foundations of group conversation tests in spoken English
• Abstracts of the Annual Conference of Finnish Statisticians 2007 : "multivariate methods"
• Abstracts of the Eighth International Workshop on Matrices and Statistics, 6-7 August 1999
• Abstracts of the first International Tampere Seminar on Linear Statistical Models and their Applications : August 30th to September 2nd, 1983
• Abstracts of the Second International Tampere Conference in Statistics : University of Tampere, Tampere, Finland 1-4 June 1987
• Adding a third data point into a data set
• Admissibility and linear sufficiency in linear model with nuisance parameters
• An inequality for the trace of matrices
• Annual report : 1983-84
• Bounds for the trace of the difference of the covariance matrices of the OLSE and BLUE
• Canonial correlations associated with symmetric reflexive generalized inverses of the dispersion matrix
• Characterizations of the best linear unbiased estimator in the general Gauss-Markov model with the use of matrix partial orderings
• Effect of adding regressors on the equality of the BLUEs under two linear models
• Effect of adding regressors on the equality of the OLSE and BLUE
• Effect of correlations and unequal variances in testing for outliers in linear regression
• Effect of deleting an observation on the equality of the OLSE and BLUE
• Equalities and inequalities for the canonical correlations associated with some partitioned generalized inverses of a covariance matrix
• Equality of BLUEs and/or BLUPs under two linear models using stochastic restrictions
• Equality of the BLUPs for new observations under two linear models
• Estimation of parameters in a percentile regression model
• Estimation under a general partitioned linear model
• Examples of the illustration of statistical concepts using KONSTA
• Examples of the use of KONSTA
• Exercises in linear models
• Extensions of the Frisch-Waugh Theorem
• Formulas useful for linear regression analysis and related matrix theory
• Generalized matrix versions of the Cauchy-Schwarz and Kantorovich inequalities
• How are BLUEs and BLUPs for linear models and linear mixed models linked?
• Illustrating regression concepts
• Interactive use of the computer for first university level statistical course
• Lineaariset mallit
• Lineaaristen mallien harjoitustehtäviä ja lähdeluettelo
• Linear prediction sufficiency for new observations in the general Gauss-Markov model
• Linear sufficiency and completeness of the estimable parametric function in the general Gauss-Markov model
• Matrix tricks for linear statistical models : our personal top sixteen
• Neural networks & statistics : abstracts
• On the efficiency of OLS in a partitioned linear model
• On the equality of OLSE and BLUE in a partitioned linear model
• On the equality of the BLUPs under two linear mixed models
• Partial canonical correlations associated with the inverse and some generalized inverse of the partitioned covariance matrix
• Proceedings of the first International Tampere Seminar on Linear Statistical Models and their Applications : University of Tampere, Tampere, Finland August 30th to September 2nd, 1983
• Proceedings of the Second International Tampere Conference in Statistics : University of Tampere, Tampere, Finland 1-4 June 1987
• Regressioanalyysi : 1
• Regressioanalyysin perusteita
• Remarks on the invariance of regression diagnostics
• Shorted matrices and their applications in linear statistical models : a review
• Simplified matrix proofs related to the deletion of an observation in the general linear model
• Solutions to selected problems in "Econometric theory" in 1997-1998
• Some comments on T. W. Anderson's contributions to solving the problem of when the ordinary least-squares estimator is best linear unbiased
• Some extensions on the ranges of a correlation matrix and its inverse matrix
• Some further matrix extensions of the Cauchy-Schwarz and Kantorovich-type inequalities
• Some remarks on the weakly singular linear model
• Spectrum and trace invariance criterion and its statistical applications
• Statistical forecasting of duration of pregnancy
• Statistical properties of the errors in group conversation tests in spoken English
• The BLUE's covariance matrix revisited : a review
• The role of the computer on the first university level : statistical course in data-analytical problems
• The shorted operator statistically interpreted
• The use of KONSTA in the teaching of statistics
• Tilastotieteen peruskurssi 1:n harjoitustehtäviä
• Tilastotieteen peruskurssi : 1
• Tilastotieteen peruskurssien liitekokoelma
• When are BLUEs and/or BLUPs in one linear mixed model also BLUEs and/or BLUPs in another?

Works about Puntanen, Simo