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A history of mathematical statistics from 1750 to 1930 / Anders Hald
A history of mathematical statistics from 1750 to 1930 / Anders Hald
Autore Hald, Anders <1913- >
Pubbl/distr/stampa New York : J. Wiley and Sons, c 1998
Descrizione fisica XVIII, 796 p. ; 23 cm
Disciplina 519.509
Collana Interscience Publication
Wiley series in probability and statistics. Texts and references section. A Wiley
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-990006882450403321
Hald, Anders <1913- >  
New York : J. Wiley and Sons, c 1998
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Annotated readings in the history of statistics / H.A. David, A.W.F. Edwards
Annotated readings in the history of statistics / H.A. David, A.W.F. Edwards
Autore David, H. A.
Pubbl/distr/stampa New York : Springer, 2001
Descrizione fisica XIV, 252 p. : ill. ; 24 cm
Disciplina 519.509
Altri autori (Persone) Edwards, A.W.F.
Collana Springer series in statistics
Soggetto non controllato Statistica matematica - Storia
ISBN 0-387-98844-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990007074510403321
David, H. A.  
New York : Springer, 2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Annotated readings in the history of statistics / H. A. David, A. W. F. Edwards
Annotated readings in the history of statistics / H. A. David, A. W. F. Edwards
Autore DAVID, Herbert Aron
Pubbl/distr/stampa New York [etc.] : Springer, c2001
Descrizione fisica XIV, 252 p. ; 24 cm
Disciplina 519.509(Matematica statistica. Storia)
Altri autori (Persone) EDWARDS, Anthony William Fairbank
Collana Springer series in statistics
Soggetto topico Statistica matematica - Storia
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990005545550203316
DAVID, Herbert Aron  
New York [etc.] : Springer, c2001
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Classic topics on the history of modern mathematical statistics : from Laplace to more recent times / / Prakash Gorroochurn
Classic topics on the history of modern mathematical statistics : from Laplace to more recent times / / Prakash Gorroochurn
Autore Gorroochurn Prakash <1971->
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , [2016]
Descrizione fisica 1 online resource (779 p.)
Disciplina 519.509
Collana THEi Wiley ebooks
Soggetto topico Mathematical statistics - History
Probabilities - History
ISBN 1-119-12794-7
1-119-12793-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Laplacean revolution -- Galton, regression, and correlation -- Karl Pearson's chi-squared goodness-of-fit test -- Student's test -- the Fisherian legacy -- Beyond Fisher and Neyman-Pearson.
Record Nr. UNINA-9910136778403321
Gorroochurn Prakash <1971->  
Hoboken, New Jersey : , : John Wiley & Sons, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Classic topics on the history of modern mathematical statistics : from Laplace to more recent times / / Prakash Gorroochurn
Classic topics on the history of modern mathematical statistics : from Laplace to more recent times / / Prakash Gorroochurn
Autore Gorroochurn Prakash <1971->
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, , [2016]
Descrizione fisica 1 online resource (779 p.)
Disciplina 519.509
Collana THEi Wiley ebooks
Soggetto topico Mathematical statistics - History
Probabilities - History
ISBN 1-119-12794-7
1-119-12793-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Laplacean revolution -- Galton, regression, and correlation -- Karl Pearson's chi-squared goodness-of-fit test -- Student's test -- the Fisherian legacy -- Beyond Fisher and Neyman-Pearson.
Record Nr. UNINA-9910814550203321
Gorroochurn Prakash <1971->  
Hoboken, New Jersey : , : John Wiley & Sons, , [2016]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis : what can be learned from the past 50 years / / Peter J. Huber
Data analysis : what can be learned from the past 50 years / / Peter J. Huber
Autore Huber, Peter
Pubbl/distr/stampa Hoboken, N.J. : Wiley, c2011
Descrizione fisica xiv, 210 p. : ill. ; ; 25 cm
Disciplina 519.509
Soggetto non controllato Numerical analysis
ISBN 9781118010648
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910151260403321
Huber, Peter  
Hoboken, N.J. : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis [[electronic resource] ] : what can be learned from the past 50 years / / Peter J. Huber
Data analysis [[electronic resource] ] : what can be learned from the past 50 years / / Peter J. Huber
Autore Huber Peter J
Edizione [First edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2011
Descrizione fisica 1 online resource (235 pages)
Disciplina 519.5
519.509
Collana Wiley series in probability and statistics.
Soggetto topico Mathematical statistics - History
Mathematical statistics - Philosophy
Numerical analysis - Methodology
ISBN 1-283-10931-X
9786613109316
1-118-01825-7
1-118-01824-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto DATA ANALYSIS: What Can Be Learned From the Past 50 Years; CONTENTS; Preface; 1 What is Data Analysis?; 1.1 Tukey's 1962 paper; 1.2 The Path of Statistics; 2 Strategy Issues in Data Analysis; 2.1 Strategy in Data Analysis; 2.2 Philosophical issues; 2.2.1 On the theory of data analysis and its teaching; 2.2.2 Science and data analysis; 2.2.3 Economy of forces; 2.3 Issues of size; 2.4 Strategic planning; 2.4.1 Planning the data collection; 2.4.2 Choice of data and methods; 2.4.3 Systematic and random errors; 2.4.4 Strategic reserves; 2.4.5 Human factors; 2.5 The stages of data analysis
2.5.1 Inspection2.5.2 Error checking; 2.5.3 Modification; 2.5.4 Comparison; 2.5.5 Modeling and Model fitting; 2.5.6 Simulation; 2.5.7 What-if analyses; 2.5.8 Interpretation; 2.5.9 Presentation of conclusions; 2.6 Tools required for strategy reasons; 2.6.1 Ad hoc programming; 2.6.2 Graphics; 2.6.3 Record keeping; 2.6.4 Creating and keeping order; 3 Massive Data Sets; 3.1 Introduction; 3.2 Disclosure: Personal experiences; 3.3 What is massive? A classification of size; 3.4 Obstacles to scaling; 3.4.1 Human limitations: visualization; 3.4.2 Human - machine interactions
3.4.3 Storage requirements3.4.4 Computational complexity; 3.4.5 Conclusions; 3.5 On the structure of large data sets; 3.5.1 Types of data; 3.5.2 How do data sets grow?; 3.5.3 On data organization; 3.5.4 Derived data sets; 3.6 Data base management and related issues; 3.6.1 Data archiving; 3.7 The stages of a data analysis; 3.7.1 Planning the data collection; 3.7.2 Actual collection; 3.7.3 Data access; 3.7.4 Initial data checking; 3.7.5 Data analysis proper; 3.7.6 The final product: presentation of arguments and conclusions; 3.8 Examples and some thoughts on strategy; 3.9 Volume reduction
3.10 Supercomputers and software challenges3.10.1 When do we need a Concorde?; 3.10.2 General Purpose Data Analysis and Supercomputers; 3.10.3 Languages, Programming Environments and Databased Prototyping; 3.11 Summary of conclusions; 4 Languages for Data Analysis; 4.1 Goals and purposes; 4.2 Natural languages and computing languages; 4.2.1 Natural languages; 4.2.2 Batch languages; 4.2.3 Immediate languages; 4.2.4 Language and literature; 4.2.5 Object orientation and related structural issues; 4.2.6 Extremism and compromises, slogans and reality; 4.2.7 Some conclusions; 4.3 Interface issues
4.3.1 The command line interface4.3.2 The menu interface; 4.3.3 The batch interface and programming environments; 4.3.4 Some personal experiences; 4.4 Miscellaneous issues; 4.4.1 On building blocks; 4.4.2 On the scope of names; 4.4.3 On notation; 4.4.4 Book-keeping problems; 4.5 Requirements for a general purpose immediate language; 5 Approximate Models; 5.1 Models; 5.2 Bayesian modeling; 5.3 Mathematical statistics and approximate models; 5.4 Statistical significance and physical relevance; 5.5 Judicious use of a wrong model; 5.6 Composite models; 5.7 Modeling the length of day
5.8 The role of simulation
Record Nr. UNINA-9910139454503321
Huber Peter J  
Hoboken, New Jersey : , : Wiley, , c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis : what can be learned from the past 50 years / / Peter J. Huber
Data analysis : what can be learned from the past 50 years / / Peter J. Huber
Autore Huber Peter J
Edizione [First edition]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (235 pages)
Disciplina 519.5
519.509
Collana Wiley series in probability and statistics
Soggetto topico Mathematical statistics - History
Mathematical statistics - Philosophy
Numerical analysis - Methodology
ISBN 9786613109316
9781283109314
128310931X
9781118018255
1118018257
9781118018248
1118018249
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto DATA ANALYSIS: What Can Be Learned From the Past 50 Years; CONTENTS; Preface; 1 What is Data Analysis?; 1.1 Tukey's 1962 paper; 1.2 The Path of Statistics; 2 Strategy Issues in Data Analysis; 2.1 Strategy in Data Analysis; 2.2 Philosophical issues; 2.2.1 On the theory of data analysis and its teaching; 2.2.2 Science and data analysis; 2.2.3 Economy of forces; 2.3 Issues of size; 2.4 Strategic planning; 2.4.1 Planning the data collection; 2.4.2 Choice of data and methods; 2.4.3 Systematic and random errors; 2.4.4 Strategic reserves; 2.4.5 Human factors; 2.5 The stages of data analysis
2.5.1 Inspection2.5.2 Error checking; 2.5.3 Modification; 2.5.4 Comparison; 2.5.5 Modeling and Model fitting; 2.5.6 Simulation; 2.5.7 What-if analyses; 2.5.8 Interpretation; 2.5.9 Presentation of conclusions; 2.6 Tools required for strategy reasons; 2.6.1 Ad hoc programming; 2.6.2 Graphics; 2.6.3 Record keeping; 2.6.4 Creating and keeping order; 3 Massive Data Sets; 3.1 Introduction; 3.2 Disclosure: Personal experiences; 3.3 What is massive? A classification of size; 3.4 Obstacles to scaling; 3.4.1 Human limitations: visualization; 3.4.2 Human - machine interactions
3.4.3 Storage requirements3.4.4 Computational complexity; 3.4.5 Conclusions; 3.5 On the structure of large data sets; 3.5.1 Types of data; 3.5.2 How do data sets grow?; 3.5.3 On data organization; 3.5.4 Derived data sets; 3.6 Data base management and related issues; 3.6.1 Data archiving; 3.7 The stages of a data analysis; 3.7.1 Planning the data collection; 3.7.2 Actual collection; 3.7.3 Data access; 3.7.4 Initial data checking; 3.7.5 Data analysis proper; 3.7.6 The final product: presentation of arguments and conclusions; 3.8 Examples and some thoughts on strategy; 3.9 Volume reduction
3.10 Supercomputers and software challenges3.10.1 When do we need a Concorde?; 3.10.2 General Purpose Data Analysis and Supercomputers; 3.10.3 Languages, Programming Environments and Databased Prototyping; 3.11 Summary of conclusions; 4 Languages for Data Analysis; 4.1 Goals and purposes; 4.2 Natural languages and computing languages; 4.2.1 Natural languages; 4.2.2 Batch languages; 4.2.3 Immediate languages; 4.2.4 Language and literature; 4.2.5 Object orientation and related structural issues; 4.2.6 Extremism and compromises, slogans and reality; 4.2.7 Some conclusions; 4.3 Interface issues
4.3.1 The command line interface4.3.2 The menu interface; 4.3.3 The batch interface and programming environments; 4.3.4 Some personal experiences; 4.4 Miscellaneous issues; 4.4.1 On building blocks; 4.4.2 On the scope of names; 4.4.3 On notation; 4.4.4 Book-keeping problems; 4.5 Requirements for a general purpose immediate language; 5 Approximate Models; 5.1 Models; 5.2 Bayesian modeling; 5.3 Mathematical statistics and approximate models; 5.4 Statistical significance and physical relevance; 5.5 Judicious use of a wrong model; 5.6 Composite models; 5.7 Modeling the length of day
5.8 The role of simulation
Record Nr. UNINA-9910825732703321
Huber Peter J  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fitting linear relationships : a history of the calculus of observations : 1750-1900 / Richard William Farebrother
Fitting linear relationships : a history of the calculus of observations : 1750-1900 / Richard William Farebrother
Autore Farebrother, Richard William
Pubbl/distr/stampa New York : Springer Verlag, c1999
Descrizione fisica XII, 272 p. ; 23 cm
Disciplina 519.509
Collana Springer series in statistics, Perspectives in statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990006882430403321
Farebrother, Richard William  
New York : Springer Verlag, c1999
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fitting linear relationships : a history of the calculus of observations 1750-1900 / Richard William Farebrother
Fitting linear relationships : a history of the calculus of observations 1750-1900 / Richard William Farebrother
Autore Farebrother, Richard William
Pubbl/distr/stampa New York : Springer, c1999
Descrizione fisica xi, 271 p. ; 24 cm.
Disciplina 519.509
Collana Springer series in statistics
Soggetto topico Mathematical statistics-history
ISBN 0387985980
Classificazione AMS 01A50
AMS 01A55
AMS 62-03
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991000896059707536
Farebrother, Richard William  
New York : Springer, c1999
Materiale a stampa
Lo trovi qui: Univ. del Salento
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