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Application of the Tweedie distribution to zero-catch data in CPUE analysis

Fisheries research, 2008-09, Vol.93 (1), p.154-162

Shono, Hiroshi

2008

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The influence of inhibit avoid water defect responses by heat pretreatment on hot air drying rate of spinach

Journal of food engineering, 2016-01, Vol.168, p.113-118

2016

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Disinfection efficacy of slightly acidic electrolyzed water on fresh cut cabbage

Food control, 2009-03, Vol.20 (3), p.294-297

2009

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Meteorological Factors Influencing the Timing and Magnitude of Bloom by the Noxious Dinoflagellate Karenia mikimotoi in Two Bays of the Bungo Channel, Japan

Japan Agricultural Research Quarterly: JARQ, 2022/04/01, Vol.56(2), pp.189-198

2022

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Relationship between the growth and survival of larval Pacific bluefin tuna, Thunnus orientalis

Marine biology, 2013-03, Vol.160 (3), p.691-702

2013

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Distribution and trend in abundance of the porbeagle (Lamna nasus) in the southern hemisphere

Marine and freshwater research, 2013-01, Vol.64 (6), p.518

2013

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Is model selection using Akaike's information criterion appropriate for catch per unit effort standardization in large samples?

Fisheries science, 2005-10, Vol.71 (5), p.978-986

SHONO, Hiroshi

2005

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Application of support vector regression to CPUE analysis for southern bluefin tuna Thunnus maccoyii, and its comparison with conventional methods

Fisheries science, 2014-09, Vol.80 (5), p.879-886

Shono, Hiroshi

2014

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Efficiency of the finite correction of Akaike’s Information Criteria

Fisheries science, 2000, Vol.66 (3), p.608-610

Shono, Hiroshi

2000

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Confidence interval estimation of CPUE year trend in delta-type two-step model

Fisheries science, 2008-08, Vol.74 (4), p.712-717

Shono, H.(National Research Inst. of Far Seas Fisheries, Shizuoka (Japan))

2008

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Developing a management procedure robust to uncertainty for southern bluefin tuna: a somewhat frustrating struggle to bridge the gap between ideals and reality

Population ecology, 2010-07, Vol.52 (3), p.359-372

2010

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Foreword

Nippon Suisan Gakkaishi, 2017, Vol.83 (5), p.850-850

2017

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Foreword

NIPPON SUISAN GAKKAISHI, 2017, Vol.83(5), pp.850-850

2017

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Changes in Antioxidative Enzyme Activities and Physicochemical Properties of Tomato Fruits during Post-harvest Ripening

Environmental Control in Biology, 2008, Vol.46(2), pp.147-153

2008

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In reply to “Letter to the editor: Improving comparisons between models for CPUE (by Peter K. Dunn)”

Fisheries research, 2009-04, Vol.97 (1), p.150-150

Shono, Hiroshi

2009

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A New Method with a Pair of Polarizing Filters for Quantification of Luster of Corollas of Japanese Gentian Flowers for Determination of Growth Stage

Agricultural Information Research, 2012, Vol.21(4), pp.95-105

2012

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Inexpensive Method for Determining the Growth Stage of Cut Japanese Gentian Flowers from Far-red Images

Agricultural Information Research, 2012, Vol.21(4), pp.85-94

2012

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5. Prediction of red tide occurrence using sparse modeling

NIPPON SUISAN GAKKAISHI, 2017, Vol.83(5), pp.855-855

2017

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Relationship between the growth and survival of larval Pacific bluefin tuna, Thunnus orientalis

Marine biology, 2013-03, Vol.160 (3), p.691

2013

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Food and feeding habits of blue marlin, Makaira nigricans, around Yonaguni Island, southwestern Japan

Bulletin of marine science, 2006-11, Vol.79 (3), p.761-775

2006

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Flower Colors and Pigments in the Cultivars of Catharanthus roseus

Horticultural Research (Japan), 2015, Vol.14(3), pp.221-230

2015

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Catch Prediction for Juvenile Bluefin Tuna in the Water Close to Kagoshima Based on Machine Learning

Japanese Journal of Biometrics, 2014/08/31, Vol.35(1), pp.1-15

2014

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Application of Methods for Model Selection to Fish Stock Analyses: Dealing with Information Criteria and Stepwise Tests

Japanese Journal of Biometrics, 2006/06/30, Vol.27(1), pp.55-67

Shono, Hiroshi

2006

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Application of Methods for Model Selection to Fish Stock Analyses-Dealing with Information Criteria and Stepwise Tests

Keiryou seibutsugaku, 2006, Vol.27 (1), p.55-67

Shono, Hiroshi

2006

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5. スパースモデリングによる赤潮の発生予測

日本水産学会誌, 2017, Vol.83(5), pp.855-855

2017

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Application of the Tweedie distribution to zero-catch data in CPUE analysis

The influence of inhibit avoid water defect responses by heat pretreatment on hot air drying rate of spinach

Disinfection efficacy of slightly acidic electrolyzed water on fresh cut cabbage

Meteorological Factors Influencing the Timing and Magnitude of Bloom by the Noxious Dinoflagellate Karenia mikimotoi in Two Bays of the Bungo Channel, Japan

Relationship between the growth and survival of larval Pacific bluefin tuna, Thunnus orientalis

Distribution and trend in abundance of the porbeagle (Lamna nasus) in the southern hemisphere

Is model selection using Akaike's information criterion appropriate for catch per unit effort standardization in large samples?

Application of support vector regression to CPUE analysis for southern bluefin tuna Thunnus maccoyii, and its comparison with conventional methods

Efficiency of the finite correction of Akaike’s Information Criteria

Confidence interval estimation of CPUE year trend in delta-type two-step model

Developing a management procedure robust to uncertainty for southern bluefin tuna: a somewhat frustrating struggle to bridge the gap between ideals and reality

Foreword

Foreword

Changes in Antioxidative Enzyme Activities and Physicochemical Properties of Tomato Fruits during Post-harvest Ripening

In reply to “Letter to the editor: Improving comparisons between models for CPUE (by Peter K. Dunn)”

A New Method with a Pair of Polarizing Filters for Quantification of Luster of Corollas of Japanese Gentian Flowers for Determination of Growth Stage

Inexpensive Method for Determining the Growth Stage of Cut Japanese Gentian Flowers from Far-red Images

5. Prediction of red tide occurrence using sparse modeling

Relationship between the growth and survival of larval Pacific bluefin tuna, Thunnus orientalis

Food and feeding habits of blue marlin, Makaira nigricans, around Yonaguni Island, southwestern Japan

Flower Colors and Pigments in the Cultivars of Catharanthus roseus

Catch Prediction for Juvenile Bluefin Tuna in the Water Close to Kagoshima Based on Machine Learning

Application of Methods for Model Selection to Fish Stock Analyses: Dealing with Information Criteria and Stepwise Tests

Application of Methods for Model Selection to Fish Stock Analyses-Dealing with Information Criteria and Stepwise Tests

5. スパースモデリングによる赤潮の発生予測

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