『統計思考の世界』ポータル


三中信宏『統計思考の世界』文献リスト


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  • 本リストは三中信宏『統計思考の世界:曼荼羅で読み解くデータ解析の基礎』巻末の「文献リスト」(pp. 233-237)に基づいて作成しました.
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  • 本リストの単行本のほとんどすべてはワタクシの本録で目次を含む書誌情報や書評などを公開していますので参考にしてください.

Hirotsugu Akaike 1973. Information theory as an extension of the maximum likelihood principle. Pp. 267-281 in: B. N. Petrov and F. Csăki (eds.), Proceedings of the Second International Symposium on Information Theory. Akadémiai Kiadó, Budapest.

David Aldous 1988. Probability Approximations via the Poisson Clumping Heuristic. Springer-Verlag, Berlin.

Edgar Anderson 1935. The irises of the Gaspé Peninsula. Bulletin of the American Iris Society, 59: 2-5.

Frank J. Anscombe 1973. Graphs in statistical analysis. The American Statistician, 27(1):17-21.

M. Baker 2016. Statisticians issue warning over misuse of P values: Policy statement aims to halt missteps in the quest for certainty. Nature, 531: 151.

Vic Barnett 1999. Comparative Statistical Inference, Third Edition. John Wiley & Sons, Chichester

Thomas Bayes and Richard Price 1763. An Essay towards Solving a Problem in the Doctrine of Chances. By the Late Rev. Mr. Bayes, F.R.S. Communicated by Mr. Price, in a Letter to John Canton, A.M. F.R.S. Philosophical Transactions of the Royal Society of London, 53: 370-418. http://rstl.royalsocietypublishing.org/content/53/370

Stephen H. Blackwell and Kurt Johnson 2016. Introduction. Pp. 1-28 in: Stephen H. Blackwell and Kurt Johnson (eds.), Fine Lines: Vladimir Nabokov’s Scientific Art. Yale University Press, New Haven.

Joan Fisher Box 1978. R. A. Fisher: The Life of a Scientist. John Wiley & Sons, New York.

Frank Bretz, Torsten Hothorn, and Peter Westfall 2011. Multiple Comparisons Using R. Chapman & Hall / CRC, Boca Raton.

F. Martin Brown 1950a. Measurements and Lepidoptera. The Lepidopterist’s News, 4: 51-52.

F. Martin Brown 1950b. In reply to Prof. Nabokov. The Lepidopterist’s News, 4: 76.

Kenneth P. Burnham and David R. Anderson 2002. Model Selection and Multimodel Inference, Second Edition. Springer-Verlag, New York.

Russell M. Church 1979. How to look at data: A review of John W. Tukey’s Exploratory Data Analysis. Journal of the Experimental Analysis of Behavior, 31(3): 433-440.

William G. Cochran and Gertrude M. Cox 1957. Experimental Designs, Second Edition. John Wiley & Sons, New York

Leda Cosmides and John Tooby 1996. Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty. Cognition, 58(1): 1-73.

Michael J. Crawley 2007. The R Book. John Wiley & Sons, Chichester.

Alfred W. Crosby 1997. The Measurement of Reality: Quantification and Western Society, 1250-1600. Cambridge University Press, New York.(アルフレッド・W・クロスビー[小沢千重子訳]2003. 数量化革命:ヨーロッパ覇権をもたらした世界観の誕生.紀伊國屋書店)

Annette J. Dobson 1983 An Introduction to Statistical Modelling. Chapman and Hall, London.

独立行政法人農業環境技術研究所 2000–2016. 農業と環境.目次 http://www.naro.affrc.go.jp/archive/niaes/mzindx/magazine.html

John Earman 1992. Bayes or Bust? : A Critical Examination of Bayesian Confirmation Theory. The MIT Press, Massachusetts.

Umberto Eco 2007. Dall’albero al labirinto: Studi storici sul segno e l’interpretazione. Bompiani, Milano.[Anthony Oldcorn 訳 2014. From the Tree to the Labyrinth: Historical Studies on the Sign and Interpretation. Harvard University Press, Cambridge]

Anthony W. F. Edwards 1992. Likelihood, Expanded Edition. The Johns Hopkins University Press, Baltimore.

Bradley Efron 1979. Bootstrap methods: another look at the jackknife. Annals of Statistics, 7: 1-26.

Bradley Efron 1982. The Jackknife, the Bootstrap and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics, Volume 38, SIAM, Philadelphia.

Bradley Efron and Robert J. Tibshirani 1993. An Introduction to the Bootstrap. Chapman and Hall, New York.

Seymore Epstein 1994. Integration of the cognitive and the psychodynamic unconscious. American Psychologist, 49(8): 709-724.

Julian J. Faraway 2005. Linear Models with R. Chapman & Hall / CRC, Boca Raton.

Julian J. Faraway 2006. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Chapman & Hall / CRC, Boca Raton.

Joseph Felsenstein 2004. Inferring Phylogenies. Sinauer Associates,Sunderland.

Ronald A. Fisher 1921. On the ‘probable error’ of a coefficient of correlation deduced from a small sample. Metron, 1: 3-32.

Ronald A. Fisher 1925. Statistical Methods for Research Workers. Oliver and Boyd, Edinburgh. [Eleventh Edition: 1950]

Ronald A. Fisher 1926. The arrangement of field experiments. Journal of the Ministry of Agriculture of Great Britain, 33: 503-513

Ronald A. Fisher 1935. The Design of Experiments. Oliver and Boyd, Edinburgh. (Eighth Edition: 1966 — R・A・フィッシャー[遠藤健児・鍋谷清治訳]1971. 実験計画法. 森北出版)

Ronald A. Fisher 1936. The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2): 179–188

Ronald A. Fisher 1956. Statistical Methods and Scientific Inference, Revised Edition. Oliver and Boyd, Edinburgh. (R・A・フィッシャー[渋谷政昭・竹内啓訳]1962. 統計的方法と科学的推論. 岩波書店)

Malcolm Forster and Elliott Sober 1994. How to tell when simpler, more unified, or less ad hoc theories will provide more accurate predictions. The British Journal for the Philosophy of Science, 45(1): 1-36.

Malcolm Forster and Elliott Sober 2004. Why likelihood? Pp. 153-190 in: Mark L. Taper and Subhash R. Lele (eds.), The Nature of Scientific Evidence: Statistical, Philosophical, and Empirical Considerations. The University of Chicago Press, Chicago.

Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin 2014. Bayesian Data Analysis, Third Edition. CRC Press / Chapman & Hall, London. http://www.stat.columbia.edu/~gelman/book/

Gerd Gigerenzer 1991. How to make cognitive illusions disappear: Beyond “heuristics and biases.” European Review of Social Psychology, 2(1): 83-115.

Nicholas Wright Gillham 2001. Sir Francis Galton: From African Exploration to the Birth of Eugenics. Oxford University Press, Oxford.

Donald Gillies 2000. Philosophical Theories of Probability. Routledge, London.(ドナルド・ギリース[中山智香子訳] 2004. 確率の哲学理論. 日本経済評論社)

Carlo Ginzburg 1979. Spie. Radici di un paradigma indiziario. Pp. 59-106 in: Aldo G. Gargani (ed.), Crisi della ragione: Nuovi modelli nel rapporto tra sapere e attività umane. Giulio Einaudi Editore, Torino. [Reprint: Carlo Ginzburg 1986. Miti, emblemi, spie: morphologia e storia. Giulio Einaudi Editore, Torino(カルロ・ギンズブルグ[竹山博英訳] 1988. 神話・寓意・徴候.せりか書房)

Carlo Ginzburg 2000. Rapporti di forza: Storia, retorica, prova. Giangiacomo Feltrinelli editore, Milano.(カルロ・ギンズブルグ[上村忠男訳] 2001. 歴史・レトリック・立証.みすず書房)

Carlo Ginzburg(カルロ・ギンズブルグ)[上村忠男編訳] 2003. 歴史を逆なでに読む.みすず書房.

Carlo Ginzburg 2006. Il filo e le tracce. Giangiacomo Feltrinelli Editore, Milano.(カルロ・ギンズブルグ[上村忠男編訳] 2008. 糸と痕跡.みすず書房)

Kwanchai A. Gomez and Arturo A. Gomez 1984. Statistical Procedures for Agricultural Research, Second Edition. John Wiley & Sons, New York.

Ian Hacking 1965. Logic of Statistical Inference. Cambridge University Press, Cambridge.

Ian Hacking 2006. The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference, Second Edition. Cambridge University Press, Cambridge(イアン・ハッキング[広田 すみれ・森元良太訳] 2013. 確率の出現.慶應義塾大学出版会)

Joel B. Hagen 2003. The statistical frame of mind in systematic biology from Quantitative Zoology to Biometry. Journal of the History of Biology, 36(2): 353-384.

Masazumi Hanazawa, Hiroshi Narushima, and Nobuhiro Minaka 1995. Generating most parsimonious reconstructions on a tree: A generalization of the Farris-Swofford-Maddison method. Discrete Applied Mathematics, 56(2-3): 245-265.

Yosef Hochberg and Ajit C. Tamhane 1987. Multiple Comparison Procedures. John Wiley & Sons, New York.

Colin Howson 2002. Bayesianism in Statistics. Proceedings of the British Academy, 113: 39-69.

Colin Howson and Peter Urbach 2006. Scientific Reasoning: The Bayesian Approach, Third Edition. Open Court, Chicago.

David L. Hull 1988. Science as a Process: An Evolutionary Account of the Social and Conceptual Development of Science. The University of Chicago Press, Chicago.

Hurlbert, S. H. (1984). Pseudoreplication and the design of ecological field experiments. Ecological Monographs, 54(2): 187–211.

石田正次 1960. 統計推論に関するフィッシャーとネイマンの論争について. 科学基礎論研究, 5(1): 17-31.

岩波データサイエンス刊行委員会(編) 2015. 岩波データサイエンス・Vol. 1. 岩波書店.

トゥプテン・ジンパ(Thupten Jinpa)監修 2000. マンダラ・コスモロジー:チベット仏教の知恵と心の芸術》,デジタローグ/トランスアート.

John R. Josephson and Susan G. Josephson (eds.) 1994. Abductive Inference: Computation, Philosophy, Technology. Cambridge University Press, Cambridge.

Daniel Kahneman and Amos Tversky 1982. On the study of statistical intuitions. Cognition, 11(2): 123-141.

粕谷英一 1998. 生物学を学ぶ人のための統計のはなし. 文一総合出版.

粕谷英一 2012. 一般化線形モデル. 共立出版.

Kim Kleinman 2002. How graphical innovations assisted Edgar Anderson’s discoveries in evolutionary biology. Chance, 15(3): 17-21.

John Kruschke 2014. Doing Bayesian Data Analysis, Second Edition: A Tutorial with R, JAGS, and Stan. Elsevier / Academic Press, Amsterdam.

久保拓弥 2003. 樹木・森林生態学「よく出る」誤用統計学の基本わざ.生物科学, 54(3): 188-192.

久保拓弥 2012. データ解析のための統計モデリング入門:一般化線形モデル・階層ベイズモデル・MCMC.岩波書店,東京.

George Lakoff 1987. Women, Fire, and Dangerous Things: What Categories Reviel about the Mind. The University of Chicago Press, Chicago(ジョージ・レイコフ[池上嘉彦・川上誓作・辻幸夫・西村義樹・坪井栄治郎・梅原大輔・大森文子・岡田禎之訳] 1993. 認知意味論:言語から見た人間の心. 紀伊國屋書店,)

Rachel Laudan 1992. What’s so special about the past? Pp. 55-67 in: Matthew H. Nitecki and Doris V. Nitecki (eds.), History and Evolution. State University of New York Press, Albany.

Lawrence M. Leemis and Jacquelyn T. McQueston 2008. Univariate Distribution Relationships. The American Statistician, 62(1): 45-53. http://www.math.wm.edu/~leemis/chart/UDR/UDR.html

Erich L. Lehmann 1959. Testing Statistical Hypotheses. John Wiley & Sons, New York.

Manuel Lima 2011. Visual Complexity: Mapping Patterns of Information. Princeton Architectural Press, New York.(マニュエル・リマ[久保田晃弘監修・奥いずみ訳]2012. ビジュアル・コンプレキシティ:情報パターンのマッピング. ビー・エヌ・エヌ新社)

Manuel Lima 2014. The Book of Trees: Visualizing Branches of Knowledge. Princeton Architectural Press, New York.(マニュエル・リマ[三中信宏訳]2015. The Book of Trees — 系統樹大全:知の世界を可視化するインフォグラフィックス. ビー・エヌ・エヌ新社)

Manuel Lima 2017. The Book of Circles: Visualizing Spheres of Knowledge. Princeton Architectural Press, New York.(マニュエル・リマ[三中信宏監訳・手嶋由美子訳]2018. The Book of Circles — 円環大全:知の輪郭を体系化するインフォグラフィックス. ビー・エヌ・エヌ新社)

Everett F. Lindquist 1940. Statistical Analysis in Educational Research. Houghton Mifflin, Boston.

Peter Lipton 2004. Inference to the Best Explanation, Second Edition. Routledge, London.

Sharon Bertsch McGrayne 2011. The Theory That Would Not Die: How Bayes’ Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy. Yale University Press, New Haven(シャロン・バーチュ・マグレイン[冨永星訳] 2013. 異端の統計学ベイズ. 草思社)

Rupert G. Miller 1974. The jackknife — A review. Biometrika, 61(1): 1-15.

三中信宏 1995. コンピュータ集中型統計学に基づく誤差推定(付録:大統計大曼荼羅プロトタイプ).日本動物行動学会ニュースレター No.27, pp. 4-15.

三中信宏 1997. 生物系統学.東京大学出版会.

三中信宏 2006. 系統樹思考の世界:すべてはツリーとともに.講談社.

三中信宏 2009. 分類思考の世界:なぜヒトは万物を「種」に分けるのか.講談社.

三中信宏 2010. 進化思考の世界:ヒトは森羅万象をどう体系化するか.日本放送出版協会.

三中信宏 2012–2013. 農環研ウェブ高座 「農業環境のための統計学」.独立行政法人農業環境技術研究所,つくば.目次: http://leeswijzer.org/R/R-top.html#niaes_stat_kouza

三中信宏 2013. 南方曼陀羅:世界を体系化するある思惟の図像的背景.科学(岩波書店),2013年8月号, pp. 906-909

三中信宏 2014–2015. 連載「統計の落とし穴と蜘蛛の糸」.羊土社.目次: https://www.yodosha.co.jp/smart-lab-life/statics_pitfalls/index.html

三中信宏 2015. みなか先生といっしょに 統計学の王国を歩いてみよう:情報の海と推論の山を越える翼をアナタに! 羊土社.

三中信宏 2016. 統計学の現場は一枚岩ではない.心理学評論,59(1): 123-128

三中信宏 2017. 思考の体系学:分類と系統から見たダイアグラム論.春秋社.

三中信宏 2018. 系統体系学の世界:生物学の哲学とたどった道のり.勁草書房.

三中信宏・杉山久仁彦 2012. 系統樹曼荼羅:チェイン・ツリー・ネットワーク.NTT出版.

三輪哲久 2015. 実験計画法と分散分析.朝倉書店.

宮崎興二(編) 2005. 高次元図形サイエンス.京都大学学術出版会,京都.

Donald F. Morrison 1990. Multivariate Statistical Methods, Third Edition. McGraw-Hill, New York.

Peter MuCullagh and John A. Nelder 1983. Generalized Linear Models. Chapman and Hall, London.

Vladimir Nabokov 1949. The nearctic members of the genus Lycaeides Hübner (Lycaenidae, Lepidoptera). Bulletin of the Museum of Comparative Zoology at Harvard College, 101(4): 477-541.

Vladimir Nabokov 1950. Remarks on F. Martin Brown’s ‘Measurements and Lepidoptera’. The Lepidopterist’s News, 4(6-7): 75-76.

Vladimir Nabokov[Brian Boyd and Robert M. Pyle] 2000. Nabokov’s Butterflies: Unpublished and Uncollected Writings. Beacon Press, Boston.

永田靖・吉田道弘 1997. 統計的多重比較法の基礎. サイエンティスト社.

中村雄祐 2009. 生きるための読み書き:発展途上国のリテラシー問題.みすず書房.

Hiroshi Narushima and Masazumi Hanazawa 1997. A more efficient algorithm for MPR problems in phylogeny. Discrete Applied Mathematics, 80(2-3): 231-238.

Jerzy Neyman and Egon S. Pearson 1928a. On the use and interpretation of certain test criteria for purposes of statistical inference. Part I. Biometrika, 20A(1-2): 175-240

Jerzy Neyman and Egon S. Pearson 1928b. On the use and interpretation of certain test criteria for purposes of statistical inference. Part II. Biometrika, 20A(3-4): 263-94

Jerzy Neyman and Egon S. Pearson 1933a. On the problem of the most efficient tests of statistical hypotheses. Philosophical Transactions of the Royal Society of London, Series A, 231: 289-337

Jerzy Neyman and Egon S. Pearson 1933b. The testing of statistical hypotheses in relation to probabilities a priori. Proceedings of the Cambridge Philosophical Society, 24(4): 492-510

Jerzy Neyman and Egon S. Pearson 1936a. Contributions to the theory of testing statistical hypotheses. Statistical Research Memorandum, 1: 1-37

Jerzy Neyman and Egon S. Pearson 1936b. Sufficient statistics and uniformly most powerful tests of statistical hypotheses. Statistical Research Memorandum, 1: 113-37

Giuditta Parolini 2015a. The emergence of modern statistics in agricultural science: Analysis of variance, experimental design and the reshaping of research at Rothamsted Experimental Station, 1919–1933. Journal of the History of Biology, 48(2): 301-335.

Giuditta Parolini 2015b. In pursuit of a science of agriculture: The role of statistics in field experiments. History and Philosophy of the Life Sciences, 37(3): 261-281.

Karl Pearson 1894. Contributions to the mathematical theory of evolution. Philosophical Transactions of the Royal Society of London, Series A, 185: 71–110.[Pp. 1-40 with 5 plates in: Egon S. Pearson (ed.) 1948. Karl Pearson’s Early Statistical Papers. Cambridge University Press, Cambridge]

Karl Pearson 1901. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, Series 6, 2 (11): 559–572.

Theodore M. Porter 2004. Karl Pearson : The Scientific Life in a Statistical Age. Princeton University Press, Princeton.

間瀬茂 2016. ベイズ法の基礎と応用:条件付き分布による統計モデリングとMCMC法を用いたデータ解析. 日本評論社.

Robert Michael Pyle 2015. Foreword — Headbone and hormones: Adventures in the arithmetic of life. Pp. xiii-xviii in: Scott Slovic and Paul Slovic (eds.), Numbers and Nerves: Information, Emotion, and Meaning in a World of Data. Oregon State University Press, Corvallis.

Alexander M. Mood, Franklin A. Graybill, and Duane C. Boes 1974. Introduction to the Theory of Statistics, Third Edition. McGraw-Hill, Tokyo.

Calyampudi Radhakrishna Rao 1973. Linear Statistical Inference and Its Applications, Second Edition. John Wiley & Sons, New York.(C・R・ラオ[奥野忠一・長田洋・篠崎信雄・広崎昭太・古河陽子・矢島敬二・鷲尾泰俊訳] 1977. 統計的推測とその応用.東京図書)

Calyampudi Radhakrishna Rao 1997. Statistics and Truth: Putting Chance to Work, Second Edition. World Scientific, River Edge. (C・R・ラオ[藤越康祝・柳井晴夫・田栗正章訳] 2010. 統計学とは何か: 偶然を生かす.筑摩書房)

Richard Royall 1997. Statistical Evidence: A Likelihood Paradigm. Chapman & Hall / CRC, Boca Raton.

坂元慶行・石黒真木夫・北川源四郎. 1983. 情報量統計学. 共立出版.

David Salsburg 2001. The Lady Tasting Tea: How Statistics Revolutionalized Science in the Twentieth Century. Henry Holt and Company, New York(デイヴィッド・サルツブルグ[竹内惠行・熊谷悦生訳] 2006. 統計学を拓いた異才たち:経験則から科学へ進展した一世紀.日本経済新聞社)

芝村良 2004. R. A. フィッシャーの統計理論:推測統計学の形成とその社会的背景 九州大学出版会,福岡.

Paul J. Silvia 2007. How to Write a Lot: A Practical Guide to Productive Academic Writing. American Psychological Association , Washington DC.(ポール・J・シルヴィア[高橋さきの訳] 2015. できる研究者の論文生産術:どうすれば「たくさん」書けるのか.講談社サイエンティフィク)

Scott Slovic and Paul Slovic 2015. Introduction — The psychophysics of brightness and the value of a life. Pp. 1-22 in: Scott Slovic and Paul Slovic (eds.), Numbers and Nerves: Information, Emotion, and Meaning in a World of Data. Oregon State University Press, Corvallis.

Elliott Sober 1988. Reconstructing the Past: Parsimony, Evolution, and Inference. The MIT Press., Massachusetts. (エリオット・ソーバー[三中信宏訳] 2010. 過去を復元する: 最節約原理,進化論,推論.勁草書房)

Elliott Sober 2002. Bayesianism – Its scope and limits. Proceedings of the British Academy, 113: 21-38.

Elliott Sober 2008. Evidence and Evolution: The Logic Behind the Science. Cambridge University Press,Cambridge.

Elliott Sober 2015. Ockham’s Razors: A User’s Manual. Cambridge University Press, Cambridge.

Robert R. Sokal and Charles D. Michener 1958. A statistical method for evaluating systematic relationships. University of Kansas Science Bulletin, 38: 1409-1438.

Robert R. Sokal and Peter H. A. Sneath 1963. Principles of Numerical Taxonomy. W. H. Freeman, San Fransisco.

竹村彰通 1991. 現代数理統計学. 創文社.

田中公明 1987. 曼荼羅イコノロジー.平川出版社.

戸田浩 1990. 次元の中の形たち[増補版].日本評論社.

友永雅己・三浦麻子・針生悦子(編) 2016. 特集〈心理学の再現可能性:我々はどこから来たのか 我々は何者か 我々はどこへ行くのか〉.心理学評論, 59(1): 1-141.

鶴見和子 1981. 南方熊楠:地球志向の比較学. 講談社.

Avezier Tucker 2004. Our Knowledge of the Past: A Philosophy of Historiography. Cambridge University Press, Cambridge.

Edward R. Tufte 1990. Envisioning Information. Graphic Press, Cheshire.

Edward R. Tufte 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphic Press, Cheshire.

Edward R. Tufte 2001. The Visual Display of Quantitative Information, Second Edition. Graphic Press, Cheshire.

Edward R. Tufte 2006. Beautiful Evidence. Graphic Press, Cheshire.

John W. Tukey 1958. Bias and confidence in not-quite large samples. Annals of Mathematical Statistics, 29(2): 614.

John W. Tukey 1962a. The future of data analysis. Annals of Mathematical Statistics, 33(1):1-67.

John W. Tukey 1962b. Correction. Annals of Mathematical Statistics, 33(2):812.

John W. Tukey 1977. Exploratory Data Analysis. Addison-Wesley, Reading.

John W. Tukey 1999. Data-based graphics: visual display in the decades to come. Statistical Science, 5(3): 327-339.

Amos Tversky and Daniel Kahneman 1974. Judgment under uncertainty: Heuristics and biases. Science, 185: 1124-1131.

上村忠男 1986. 訳者解説 — ギンズブルグの意図と方法について —. Pp. 347-369 所収:カルロ・ギンズブルグ[上村忠男訳] 1986. 夜の合戦:16–17世紀の魔術と農耕信仰.みすず書房.

Douglas Walton 2005. Abductive Reasoning. The University of Alabama Press, Tuscaloosa.

Ronald L. Wasserstein and Nicole A. Lazar 2016. The ASA’s statement on p-values: context, process, and purpose. The American Statistician, 70(2): 129-133.[佐藤俊哉訳 2017. 統計的有意性とP値に関するASA声明.日本計量生物学会.http://biometrics.gr.jp/news/all/ASA.pdf [pdf]]

Ziheng Yang 2014. Molecular Evolution: A Statistical Approach. Oxford University Press, Oxford.

Carol Kaesuk Yoon 2009. Naming Nature: The Clash between Instinct and Science. W. W. Norton, New York.(キャロル・キサク・ヨーン[三中信宏・野中香方子訳] 2013. 自然を名づける:なぜ生物分類では直感と科学が衝突するのか.NTT出版)


Last Modified: 11 January 2021 MINAKA Nobuhiro