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         Pearson Egon:     more books (15)
  1. The Sources and Nature of the Statistics of the United Kingdom.Volume 1 and 2. With a Foreword by Egon Pearson. by Maurice [Ed] Kendall, 1957-01-01
  2. Joint Statistical Papers by Jerzy; Pearson, Egon Sharpe Neyman, 1966-01-01
  3. Table of the Logarithms of the Complete -Function (for Arguments 2 to 1200, I.E. Beyond Legendre's Range): -1922 by E. S. (Egon Sharpe) Pearson, 2009-07-24
  4. The Sources and Nature of the Statistics of the United Kingdom (Volumes I and II by Maurice G.; Hill, Bradford A.; Pearson, Egon S. Kendall, 1952
  5. On the Problem of the most Efficient Tests of Statistical Hypotheses. by Jerzy (1894-1981), & Egon S. PEARSON (1895-1980). NEYMAN, 1933-01-01
  6. Neyman?Pearson Lemma: Lemma, Statistical Hypothesis Testing, Likelihood-ratio Test, Jerzy Neyman, Egon Pearson
  7. The selected papers of E.S. Pearson by Egon Sharpe Pearson, 1966
  8. The selected papers of E. S. Pearson by Egon Sharpe Pearson, 1966
  9. Biometrika tables for statisticians by Egon Sharpe Pearson, 1954
  10. 'Biometrika' tables for statisticians by Egon Sharpe Pearson, 1966
  11. Biometrika Volume 34 1947 by Egon S Pearson, 1947-01-01
  12. Statistical Research Memoirs: Volume I & II (Author's Copy) by Jerzy; Pearson, Egon S. (editors) Neyman, 1938
  13. Table Of The Logarithms Of The Complete -function (for Arguments 2 To 1200, I.e. Beyond Legendre's Range)
  14. Table of the logarithms of the complete -function (for argumen by Pearson. E. S. (Egon Sharpe). 1895-1980., 1922-01-01

81. Karl Pearson

http://www.guajara.com/wiki/it/wikipedia/k/ka/karl_pearson.html
Karl Pearson
Karl Pearson nasce nel 27 marzo a Londra e muore nel 27 aprile Matematico e statistico statistica Egon Pearson , anch'egli statistico di fama. Ha una formazione in matematica che conclude nel James Clerk Maxwell diritto Germania ) interessandosi sia di fisica University College di Londra fisica storia e filosofia . La sua prima opera ( The New Werther statistica in seguito alla lettura di scritti di Francis Galton Natural Inheritance ) e all'amicizia con lo zoologo Principio ristretto di equivalenza in variabilit  ). Inoltre introduce il termine deviazione standard e la notazione correlazione : studia il coefficiente r e le sue generalizzazioni, basandosi sui lavori di Galton Annals of Eugenics Drapers' Company Research Memoirs Biometrika , finanziata da Galton Francis Galton Galton Chair of National Eugenics suo figlio Eugenics Record Office di Galton Laboratorio Galton evoluzione R.Fisher Ronald Fisher Egon
Bibliografia
The New Werther The Trinity, A Nineteenth Century Passion Play Die Fronica The Ethic of Freethought The Grammar of Science On the dissection of asymmetrical frequency curves Skew variation in homogeneous material Regression, heredity and panmixia

82. Neyman-Pearson, Fisher, Bayes
The summary for this Japanese page contains characters that cannot be correctly displayed in this language/character set.
http://www.bun.kyoto-u.ac.jp/~suchii/shigemasu.html
Error Statistics Neyman-Pearson, Fisher, and Bayesian Statistics J. Neyman (1894-1981) ”É–‘ŽZ’jwƒxƒCƒY“Œv“ü–åx“Œ‹ž‘åŠwo”ʼnïA1985B ŽÀ‘H“IŒˆ’è ‚É‚Ü‚Å“¥‚ݍž‚ނ̂ŁA‚»‚Ì‘O’ñ‚Æ‚È‚é‚ׂ«‰¿’l”»’f‚ª•K—v‚È‚Í‚¸‚Å‚ ‚邪A‚±‚ꂪ‘½‚­‚̏ꍇ•š‚¹‚ç‚ꂽ‚Ü‚Ü‚É‚È‚Á‚Ä‚¢‚é‚©‚ç‚Å‚ ‚éB‰¼‚É“Œv“IŠm—¦‚ª‹qŠÏ“I‚¾‚Æ‚µ‚Ä‚àA‚±‚Ì•š‚¹‚ç‚ꂽ‰¿’lŠî€‚ÉŽåŠÏ“I—v‘f‚ª“ü‚éB‚±‚±‚܂ōl—¶‚·‚ê‚΁AƒƒCƒˆ[‚ª‹­’²‚·‚é‚悤‚ÈŒë•T“Œv‚Ì•û–@‚̑唼‚́AƒxƒCƒY“Œv‚Å‚àŒ`‚ð•Ï‚¦‚āA‚»‚µ‚Ä’Pˆê‚̃P[ƒX‚ɑ΂·‚é“K—p‚ɂ‚¢‚Ä–­‚ÈŒ¾‚¢–ó‚ð‰‡—p‚·‚邱‚Æ‚È‚­AÄŒ»‚Å‚«‚é‚Ì‚Å‚ ‚éB Egon Pearson (1895-1980) i1j@P(e) = f(p, n, x) n ‚Æ x ‚ÍŠù’m‚Åp‚ð–¢’m”‚ÆŒ©‚È‚· –Þ“x ‚±‚ê‚́AŽŸ‚̂悤‚ɍl‚¦‚Ä‚Ý‚ê‚΂킩‚è‚â‚·‚¢B—Ⴆ‚΁A3‰ñ‚ÌŽŽs‚Ì—á‚ł́A Šm—¦ (1-p)(1-p)(1-p) 3p(1-p)(1-p) 3pp(1-p) ppp ‚³‚āAƒxƒCƒYŽå‹`‚É‚ ‚Á‚ďdŽ‹‚³‚ê‚é –Þ“xŒ´— INDEX CV PUBLS. PICT.ESSAYS ... CRS.MATERIALS Last modified October 19, 2001. (c) Soshichi Uchii suchii@bun.kyoto-u.ac.jp

83. Schiele, Egon
encyclopediaEncyclopedia Schiele, egon, A gôn shE lu PronunciationKey. Related content from HighBeam Research on egon Schiele.
http://www.infoplease.com/cgi-bin/id/A0843935.html
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84. Jerzy Neyman
Neyman studied under Karl pearson while in London. He also made contacts withEgon pearson, RA Fisher, and W. S. Gosset while at University College.
http://www.edu365.com/aulanet/comsoc/Lab_estadistica/estadistics/Neyman.htm
URL: http://www.mrs.umn.edu/~sungurea/introstat/history/w98/Jerzy_Neyman.html Jerzy Neyman April 16, 1894-August 5, 1981 Born Jerzy Splawa-Neyman(later dropping Splawa at age 30) in Bendery, Russia, Neyman had an early education by a governesses in French and German. This made Neyman proficient in many languages. In 1912, he entered the University of Kharkov to stu dy physics and mathematics. While studying at Kharkov, Neyman was taught by S.N. Bernstein. Bernstein introduced him to Karl Pearson’s Grammar of Science. Later Neyman would say that this influenced his development, but this was not the main i nterest of his during his studies. He was really interested in the research in measure theory of Lebesgue. This was the subject of most of his early papers. In 1921, Neyman was forced to move to Poland to due to the war between Poland and Russia. Neyman was 27 at the time. In Poland, Neyman worked with W. Sierpinski before moving to London in 1924. Neyman studied under Karl Pearson while in London. He also made contacts with Egon Pearson, R. A. Fisher, and W. S. Gosset while at University College. By 1934, Karl Pearson had retired and his department was divided between his son Egon and Fisher. Egon invited Neyman to work with him. They worked on the theory of testing hypotheses. They supplied logical foundation and mathematical rigor to the theory that was missing in previous methodology. Their work was disputed by some mathematicians, including Fisher. The Neyman-Pearson ideas eventually spr ead throughout mathematics. Their ideas made sure that samples were large enough to avoid false representation.

85. Harold Hotelling Papers
1, Mayer, Joseph. 1, Mills, Frederick C. 1, Odum, Howard W. 1, pearson, EgonS. 1, Proxmire, William. 1, Pusey, Nathan M. 1, Richardson, Roland George Dwight.
http://www.columbia.edu/cu/libraries/indiv/rare/guides/Hotelling/main.html
Harold Hotelling Papers
Finding Aid Prepared by Henry Rowen
January 2002 Date Range
Size of Collection
: 24 linear ft. (ca. 12800 items in 58 boxes)
Date of Acquisition : Gift of Mrs. Harold Hotelling, 1985
Material on Microfilm : No material on microfilm
Terms of Access : Available for faculty, students, or researchers engaged in scholarly or publication projects
Restrictions on Use or Access
Location in Stacks
: In sequence
Processing Information : Processed by Henry Rowen, 1986
RLIN ID
BIOGRAPHY
Harold Hotelling, 1895-1973 mathematical statistician and mathematical economist taught at Columbia University from 1931 until he left in 1946 to establish the Institute of Statistics at the University of North Carolina at Chapel Hill. During the Second World War Hotelling did research in Columbia University's Statistical Research Group. Later he was involved in research for the Office of Naval Research at Chapel Hill. He was active in many professional organizations especially the Institute of Mathematical Statistics.
SCOPE AND CONTENT
Correspondence, manuscripts, addresses, documents and printed materials. Correspondents include: Milton Friedman, Samuel S. Wilks, Nathan Pusey, William Proxmire, Helen M. Walker, Ray Lyman Wilbur, Alfred Cowles, 3d and Ragnar Frisch. The papers also include biographical, teaching and research materials; publications and drafts of articles and books including his study, "The Teaching of Statistics," and materials on the concept of "Hotelling's Generalized T Measure of Multivariate Dispersion".

86. Schiele, Egon
encyclopediaEncyclopedia Schiele, egon, A gôn shE lu Pronunciation Key.Schiele, egon , 1890–1918, Austrian expressionist painter and draftsman.
http://www.factmonster.com/cgi-bin/id/A0843935.html

Encyclopedia

Schiele, Egon A E u Pronunciation Key Schiele, Egon , Austrian expressionist painter and draftsman. Influenced by the French impressionists, then by Gustav Klimt , Schiele developed a taut, linear style, emphasizing anatomical structure in drawings and paintings that often have strong sexual subject matter. With Kokoschka , he was in the forefront of the Austrian expressionist movement until his sudden death at 28 of influenza. A portrait by him is in the Minneapolis Institute of Arts. See biographies by F. Whitford (1985) and S. Wilson (1987); E. Mitsch, The Art of Egon Schiele (tr., 2d ed. 1988); M. Dabrowski, Egon Schiele: The Leopold Collection The Columbia Electronic Encyclopedia,
Schiehallion
Schiff, Jacob Henry
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87. Portraits Of Statisticians
PARZEN, Emanuel 1929. PASCAL, Blaise 1623-1662. PEARL, Judea 1936-. pearson, EgonSharpe 1895-1980. pearson, Karl 1857-1936. PEIRCE, Charles Sanders 1839-1914.
http://www.clayton.k12.ga.us/schools/006/tgrafton/AP Stats/Home/portraits_of_sta
Portraits of Statisticians
This page was recreated by Thad Grafton Return to the AP Statistics Home Page The original page was created by Peter M Lee and the original page is at the University of York, UK
Click here for information about sources at the University of York
Click here for information about the life and work of statisticians from the University of York
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  • 88. The Data Puzzle: The Nature Of Interpretation In Quantitative Research
    The Data Puzzle The Nature of Interpretation in Quantitative Research. Herbert M. Kritzer. American Journal of Political Science, Vol. 40 (February 1996), pp. 132
    http://www.polisci.wisc.edu/~kritzer/research/interp/datapuzzle.htm
    The Data Puzzle: The Nature of Interpretation in Quantitative Research
    Herbert M. Kritzer
    American Journal of Political Science , Vol. 40 (February 1996), pp. 1-32
    Theory : Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of the interpretation process involved in quantitative data analysis. Argument : Drawing upon a broad literature on interpretation, the paper shows how the interpretive processes for quantitative "data" has significant similarities to interpretation in other settings. For example, both qualitative textual analysis and quantitative statistical analysis rely upon contextual and tropological paradigms, although the specific conventions differ in many respects. The process of play employed by musicians and actors in developing an interpretation of a piece of music or a dramatic role suggests ways in which the quantitative analyst might let data perform to help in arriving at appropriate interpretations of statistical results. Conclusion and Implications : The lines between quantitative and qualitative social science are less clear than often presumed. Both types of analysis involve extensive interpretation, and tools of interpretation that have many fundamental similarities.

    89. ·j´Mµ²ªG¸Ô²Ó¸ê®Æ
    The summary for this Chinese (Traditional) page contains characters that cannot be correctly displayed in this language/character set.
    http://probstat.nuk.edu.tw/stat_people/rst_002.asp?nok=p02

    90. Bayesian - Encyclopedia Article About Bayesian. Free Access, No Registration Nee
    This school is often associated with the names of Jerzy Neyman and EgonPearson who described the logic of statistical hypothesis testing.
    http://encyclopedia.thefreedictionary.com/Bayesian
    Dictionaries: General Computing Medical Legal Encyclopedia
    Bayesian
    Word: Word Starts with Ends with Definition Bayesianism is the philosophical Philosophy is the critical study of the most fundamental questions that humankind has been able to ask. Philosophers ask questions such as
    • Metaphysics: What sorts of things exist? What is the nature of those things? Do some things exist independently of our perception? What is the nature of space and time? What is the nature of thought and thinking? What is it to be a person? What is it to be conscious? Is there a god?

    Click the link for more information. tenet that the mathematical theory of probability The word probability derives from the Latin probare (to prove, or to test). Informally, probable is one of several words applied to uncertain events or knowledge, being more or less interchangeable with likely risky hazardous uncertain , and doubtful , depending on the context. Chance odds , and bet are other words expressing similar notions. As with the theory of mechanics which assigns precise definitions to such everyday terms as work and force , so the theory of probability attempts to quantify the notion of probable
    Click the link for more information.

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