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Data : A Collection of Problems from Many Fields for the Student and Research Worker / D. F. Andrews, A. M. Herzberg
Data : A Collection of Problems from Many Fields for the Student and Research Worker / D. F. Andrews, A. M. Herzberg
Autore Andrews, David F.
Pubbl/distr/stampa New York, : Springer-Verlag, 1985
Descrizione fisica xx, 442 p. : ill. ; 24 cm
Altri autori (Persone) Herzberg, Agnes M.
Soggetto topico 62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
Soggetto non controllato Classification
Correlation
Fields
Knowledge
Sets
Statistics
Tools
Volume
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0268754
Andrews, David F.  
New York, : Springer-Verlag, 1985
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Data : A Collection of Problems from Many Fields for the Student and Research Worker / D. F. Andrews, A. M. Herzberg
Data : A Collection of Problems from Many Fields for the Student and Research Worker / D. F. Andrews, A. M. Herzberg
Autore Andrews, David F.
Pubbl/distr/stampa New York, : Springer-Verlag, 1985
Descrizione fisica xx, 442 p. : ill. ; 24 cm
Altri autori (Persone) Herzberg, Agnes M.
Soggetto topico 62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
Soggetto non controllato Classification
Correlation
Fields
Knowledge
Sets
Statistics
Tools
Volume
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Statistics provides tools and strategies for the analysis of data. While much has been written about the methodology, sometimes without reference to data, little has been said about the data. In this volume we present sets of data obtained from many situations without any direct reference to a particular type of analysis. Our view of the usefulness of bringing together a broad collection of sets of data has been shared by many friends and contributors. Students of statistics need to gain facility with their art by applying their knowledge to many sets of data. Textbook examples tend to be small and selected primarily to illustrate a particular technique, thus failing to demonstrate the questioning, iterative nature of statistical analysis. The situations which gave rise to the more extensive sets of data given in this volume are colourful and interesting, and can be readily understood by laymen, students and research workers with diverse interests. These sets were often chosen for their perverse reluctance to yield under the naive application of standard procedures. They do not have correct solutions. They describe situations where the statisti­ cian can develop skills and learn the limitations of statistical methods.
Record Nr. UNICAMPANIA-VAN00268754
Andrews, David F.  
New York, : Springer-Verlag, 1985
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Symbolic computation for statistical inference / D. F. Andrews and J. E. Stafford
Symbolic computation for statistical inference / D. F. Andrews and J. E. Stafford
Autore Andrews, David F.
Pubbl/distr/stampa Oxford : Oxford University press, 2000
Descrizione fisica 157 p. ; 24 cm
Disciplina 519.50285
Altri autori (Persone) Stafford, James E.H.
Collana Oxford statistical science series
Soggetto non controllato Statistica computazionale
Inferenza statistica
Inferenza non parametrica
ISBN 01-985070-5-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990003826390403321
Andrews, David F.  
Oxford : Oxford University press, 2000
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui