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Dive into the research topics where Nobuko Miyamoto is active.

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Featured researches published by Nobuko Miyamoto.


Finite Fields and Their Applications | 2004

Optical orthogonal codes obtained from conics on finite projective planes

Nobuko Miyamoto; Hirobumi Mizuno; Satoshi Shinohara

Optical orthogonal codes can be applied to fiber optical code division multiple access (CDMA) communications. In this paper, we show that optical orthogonal codes with auto- and cross-correlations at most 2 can be obtained from conics on a finite projective plane. In addition, the obtained codes asymptotically attain the upper bound on the number of codewords when the order q of the base field is large enough.


Australian & New Zealand Journal of Statistics | 2001

Theory & Methods: Measure of Asymmetry for Square Contingency Tables Having Ordered Categories

Sadao Tomizawa; Nobuko Miyamoto; Yusuke Hatanaka

For the analysis of square contingency tables with nominal categories, Tomizawa and coworkers have considered measures that represent the degree of departure from symmetry. This paper proposes a measure that represents the degree of asymmetry for square contingency tables with ordered categories (instead of those with nominal categories). The measure proposed is expressed using the Cressie–Read power-divergence or Patil–Taillie diversity index, defined for the cumulative probabilities that an observation falls in row (column) category i or below and column (row) category j(> i) or above. The measure depends on the order of listing the categories. It should be useful for comparing the degree of asymmetry in several tables with ordered categories. The relationship between the measure and the normal distribution is shown.


Journal of Applied Statistics | 2004

Conditional Difference Asymmetry Model for Square Contingency Tables with Nominal Categories

Sadao Tomizawa; Nobuko Miyamoto; Ryo Funato

This paper proposes a model, which is an extension-of-symmetry model, for square contingency tables with the same nominal row and column classifications. The model states that the absolute values of difference between the conditional probability that an observation will fall in cell (i, j) on condition that it falls in cell (i, j) or (j, i) and the conditional probability that it falls in cell (j, i) on the same condition, are constant for every i≠j. The model describes a structure of asymmetry (not symmetry), and it is applied to the data on a nominal scale. An example is given.


Statistics | 2005

Power-divergence-type measure of departure from diagonals-parameter symmetry for square contingency tables with ordered categories

Sadao Tomizawa; Nobuko Miyamoto; Shunsuke Yamane

For the analysis of square contingency tables with ordered categories, Goodman considered the diagonals-parameter symmetry (DPS) model. This paper proposes a measure to represent the degree of departure from the DPS model. The proposed measure is expressed by applying Read and Cressie’s power-divergence or Patil and Taillie’s diversity index. The measure would be useful for comparing the degree of departure from the DPS model in several tables. Examples are given.


Journal of Applied Statistics | 2006

Marginal inhomogeneity models for square contingency tables with nominal categories

Nobuko Miyamoto; Kouji Tahata; Hirokazu Ebie; Sadao Tomizawa

Abstract For the analysis of square contingency tables with nominal categories, this paper proposes two kinds of models that indicate the structure of marginal inhomogeneity. One model states that the absolute values of log odds of the row marginal probability to the corresponding column marginal probability for each category i are constant for every i. The other model states that, on the condition that an observation falls in one of the off-diagonal cells in the square table, the absolute values of log odds of the conditional row marginal probability to the corresponding conditional column marginal probability for each category i are constant for every i. These models are used when the marginal homogeneity model does not hold, and the values of parameters in the models are useful for seeing the degree of departure from marginal homogeneity for the data on a nominal scale. Examples are given.


Finite Fields and Their Applications | 2015

Difference systems of sets and a collection of 3-subsets in a finite field of order p

Shoko Chisaki; Nobuko Miyamoto

A difference system of set (DSS) is a collection of t disjoint ? i -subsets Q i , 0 ? i ? t - 1 , of Z n such that every non-identity element of Z n appears at least ? times in the multiset { a - b | a ? Q i , b ? Q j , 0 ? i , j ? t - 1 , i ? j } . A DSS is regular if ? i is constant for 0 ? i ? t - 1 , and a DSS is perfect if every element of Z n is contained exactly ? times in the above multiset. In this paper, we consider a collection of 3-subsets of a finite field of a prime order p = e f + 1 to be a DSS. We present a condition for which the collection forms a regular DSS and give a lower bound on the parameter ? using cyclotomic numbers for e = 3 , 4 and 6 . For the same values of e, we also show a condition for which a collection of 3-subsets is a perfect DSS.


Designs, Codes and Cryptography | 2016

A construction and decomposition of orthogonal arrays with non-prime-power numbers of symbols on the complement of a Baer subplane

Kohei Yamada; Nobuko Miyamoto

Fuji-Hara and Kamimura (Util Math 43:65–70, 1993) outlined a method for constructing orthogonal arrays of strength 2 on the complement of a Baer subplane, with


Calcutta Statistical Association Bulletin | 2002

Proportional Reduction in Variation Measure for Normal-Ordinal Contingency Tables

Sadao Tomizawa; Nobuko Miyamoto; Obuko Miyamoto; Ryotaro Yajima


Graphs and Combinatorics | 2015

Difference Systems of Sets with Size 2

Shoko Chisaki; Nobuko Miyamoto

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Behaviormetrika | 2003

MEASURE OF DEPARTURE FROM MARGINAL HOMOGENEITY FOR SQUARE CONTINGENCY TABLES HAVING ORDERED CATEGORIES

Sadao Tomizawa; Nobuko Miyamoto; Naganori Ashihara

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Sadao Tomizawa

Tokyo University of Science

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Kouji Tahata

Tokyo University of Science

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Shoko Chisaki

Tokyo University of Science

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Akinobu Sugiyama

Tokyo University of Science

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Hidechika Houya

Tokyo University of Science

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Hirokazu Ebie

Tokyo University of Science

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