80 results on '"Calinski, T."'
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2. A statistical Approach to the Study of Pollen Fitness : Pollen Fitness: Implications with Regard to Population Structure and Evolution
3. Clustering Means in ANOVA by Simultaneous Testing
4. The Basic Contrasts of an Experimental Design with Special Reference to the Analysis of Data
5. On Some Desirable Patterns in Block Designs
6. On the Distribution of the F-Type Statistics in the Analysis of a Group of Experiments
7. A multivariate approach to the problem of QTL localization
8. On Some Problems in Analysing Non-orthogonal Designs
9. Further study on estimating missing values in series of variety trials
10. Em and als algorithms applied to estimation of missing data in series of variety trials
11. The randomization model for experiments in block designs and the recovery of inter-block information
12. A Dendrite Method for Cluster Analysis
13. Estimation in linear models not of full rank : A 'geometric' revisitation.(Rapport technique)
14. Multiway Contingency Tables Analysis for the Social Sciences. T. D. Wickens
15. Introduction to the Practice of Statistics. D. S. Moore G. P. McCabe
16. Principles and Procedures of Statistics: A Biometrical Approach. R. G. D. Steel J. H. Torrie
17. GENETIC DISTANCES BASED ON QUANTITATIVE TRAITS
18. A dendrite method for cluster analysis
19. Balance, efficiency and orthogonality concepts in block designs
20. About the Multimodality of the Likelihood Function when Estimating the Variance Components in a One-Way Classification by Means of the Ml or REML Method
21. On Q-Covariance and its Applications
22. A Generic Look at Factor Analysis
23. A New Look into Composite Designs
24. Asymptotic Properties of Least Squares Parameter Estimators in a Dynamic Errors-in-Variables Model
25. Properties of Comparison Criteria of Normal Experiments
26. Characterizations of Oblique and Orthogonal Projectors
27. Using the Complex Linear Model to Search for an Optimal Juxtaposition of Regular Fractions
28. Optimality of the Orthogonal Block Design for Robust Estimation under Mixed Models
29. Optimality of Generally Balanced Experimental Block Designs
30. Design of Experiments and Neighbour Methods
31. Some Directions in Comparison of Linear Experiments: A Review
32. On Generalized Binary Proper Efficiency-Balanced Block Designs
33. The Geometry of Nonlinear Inference: Accounting of Prior and Boundaries
34. Asymptotic Efficiencies of MINQUE and ANOVA Variance Component Estimates in the Nonnormal Random Model
35. General Balance: Artificial Theory or Practical Relevance?
36. One-Way Analysis of Variance Under Tukey Contamination: A Small Sample Case Simulation Study
37. Prediction Domain in Nonlinear Models
38. Multiple-Multivariate-Sequential T 2 -Comparisons
39. Admissible Nonnegative Invariant Quadratic Estimation in Linear Models with Two Variance Components
40. Geometrical Relations Among Variance Component Estimators
41. Optimal Bias Bounds for Robust Estimation in Linear Models
42. On Diagnosing Collinearity-Influential Points in Linear Regression
43. On Asymptotic Normality of Admissible Invariant Quadratic Estimators of Variance Components
44. A Note on Robust Estimation of Parameters in Mixed Unbalanced Models
45. Partial Least Squares and a Linear Model
46. Using Nonnegative Minimum Biased Quadratic Estimation for Variable Selection in the Linear Regression Model
47. Recent Results in Multiple Testing: Several Treatments vs. A Specified Treatment
48. Estimation of Parameters in a Special Type of Random Effects Model
49. On the Representation of the Minimax Linear Estimator in the Convex Linear Model
50. Increments for (CO)Kriging with Trend and Pseudo-Covariance Estimation
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