Generalized Principal Components Analysis Invariant Under Rotations of a Coordinate System
Masahiko Mizuta
On a Problem of a Probability Arising From Poker
Koiti Takahasi and Masao Futatsuya
Rank Statistics to Measure the Degree of Association
Shingo Shirahata and Takaharu Araki
A Procedure to Deal With Improper Solutions in Latent Class Analysis
Tsukio Morita
Three Kinds of Decompositions for the Conditional Symmetry Model in a Square Contingency Table
Sadao Tomizawa
Exact and Approximate Distributions of Slope Estimators in a Linear Structural Relationship
Yoshiko Isogawa
A Construction of Incomplete Sufficient Unbiased Estimators of the Normal Correlation Coefficient
Kosei Iwase and Noriaki Seto
Uniformly Minimum Variance Unbiased Estimation in a Semi-Lognormal Distribution
Manabu Suzuki, Kosei Iwase and Kunio Shimizu
Further Results on Partially Balanced Fractional 2^{m_{1}+m_{2}} Factorial Designs of Resolution IV
Masahide Kuwada and Masaaki Matsuura
A Condition for the Validity of Fisher’s Inequality
Sampei Kageyama and Takumi Tsuji
Note on the Average Sampling Time for the Sequential Test of Padgett and Wei
Rinya Takahashi
同時方程式モデルにおける非情報事前分布 (Non-Informative Prior Distribution in a Simultaneous Equations Model)
稲葉 敏夫 (Toshio Inaba)
No. 2
Finite Sample Econometrics Using ERA’s
P. C. B. Phillips
Joint Asymptotic Normality of Nonparametric Recursive Density Estimators at a Finite Number of Distinct Points
Eiichi Isogai
Partial Gauss-Newton Algorithm for Least-Squares and Maximum Likelihood Methods in Factor Analysis
Masashi Okamoto and Masamori Ihara
Asymptotically Closer Estimators for the Normal Covariance Matrix
Nariaki Sugiura
Asymptotic Properties of Several Estimators of the Autocorrelation Based on Limiter Estimating Functions for a Stationary Gaussian Process with Additive Outliers
Michihiro Yoshida, Masao Kondo and Nobuo Inagaki
On Connectedness-conditions of PBIB Designs
G. M. Saha and Sampei Kageyama
On a Uniform Two-armed Bandit Problem
Toshio Hamada
A Coefficient of Concordance Based on the Chart of Linked Lines
