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Advanced LIMS Technology : Case Studies and Business Opportunities / edited by J. E. H. Stafford
Advanced LIMS Technology : Case Studies and Business Opportunities / edited by J. E. H. Stafford
Pubbl/distr/stampa Dordrecht, : Springer, : Chapman & Hall, 1995
Descrizione fisica xxiv, 247 p. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
Soggetto non controllato Chromatography
Classification
Excel
Information technology
Kinetics
Pharmaceutical
Pharmacokinetics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00294215
Dordrecht, : Springer, : Chapman & Hall, 1995
Materiale a stampa
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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Autore Christensen, Ronald
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxiii, 608 p. : ill. ; 24 cm
Soggetto topico 62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62K20 - Response surface designs [MSC 2020]
Soggetto non controllato ANOVA
Data analysis
Excel
Factor analysis
Heteroscedasticity
Mathematical statistics
Mixed models
Multivariate models
Statistica
Time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126672
Christensen, Ronald  
Cham, : Springer, 2019
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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
Autore Christensen, Ronald
Edizione [3. ed]
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xxiii, 608 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62G08 - Nonparametric regression and quantile regression [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62K20 - Response surface designs [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020]
Soggetto non controllato ANOVA
Data Analysis
Excel
Factor analysis
Heteroscedasticity
Mathematical statistics
Mixed models
Multivariate models
Statistica
Time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00126672
Christensen, Ronald  
Cham, : Springer, 2019
Materiale a stampa
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An Introduction to the Theory of Large Deviations / D. W. Stroock
An Introduction to the Theory of Large Deviations / D. W. Stroock
Autore Stroock, Daniel W.
Pubbl/distr/stampa New York, : Springer-Verlag, 1984
Descrizione fisica vii, 196 p. ; 24 cm
Soggetto topico 60-XX - Probability theory and stochastic processes [MSC 2020]
60F10 - Large deviations [MSC 2020]
60B10 - Convergence of probability measures [MSC 2020]
Soggetto non controllato Big difference
Boundary Element Methods
Brownian Motion
Deviations
Excel
Identification
Language
Logarithms
Mathematics
Organization
Sets
Shapes
attributes
large
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0268644
Stroock, Daniel W.  
New York, : Springer-Verlag, 1984
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An Introduction to the Theory of Large Deviations / D. W. Stroock
An Introduction to the Theory of Large Deviations / D. W. Stroock
Autore Stroock, Daniel W.
Pubbl/distr/stampa New York, : Springer-Verlag, 1984
Descrizione fisica vii, 196 p. ; 24 cm
Soggetto topico 60-XX - Probability theory and stochastic processes [MSC 2020]
60B10 - Convergence of probability measures [MSC 2020]
60F10 - Large deviations [MSC 2020]
Soggetto non controllato Attributes
Big Difference
Boundary Element Methods
Brownian motion
Deviations
Excel
Identifications
Language
Logarithms
Mathematics
Organization
Sets
Shapes
large
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto These notes are based on a course which I gave during the academic year 1983-84 at the University of Colorado. My intention was to provide both my audience as well as myself with an introduction to the theory of 1arie deviations • The organization of sections 1) through 3) owes something to chance and a great deal to the excellent set of notes written by R. Azencott for the course which he gave in 1978 at Saint-Flour (cf. Springer Lecture Notes in Mathematics 774). To be more precise: it is chance that I was around N. Y. U. at the time'when M. Schilder wrote his thesis. and so it may be considered chance that I chose to use his result as a jumping off point; with only minor variations. everything else in these sections is taken from Azencott. In particular. section 3) is little more than a rewrite of his exoposition of the Cramer theory via the ideas of Bahadur and Zabel. Furthermore. the brief treatment which I have given to the Ventsel-Freidlin theory in section 4) is again based on Azencott's ideas. All in all. the biggest difference between his and my exposition of these topics is the language in which we have written. However. another major difference must be mentioned: his bibliography is extensive and constitutes a fine introduction to the available literature. mine shares neither of these attributes. Starting with section 5).
Record Nr. UNICAMPANIA-VAN00268644
Stroock, Daniel W.  
New York, : Springer-Verlag, 1984
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Applied Statistics : A Handbook of BMDP™ Analyses / E. J. Snell
Applied Statistics : A Handbook of BMDP™ Analyses / E. J. Snell
Autore Snell, E. Joyce
Pubbl/distr/stampa Dordrecht, : Springer, 1987
Descrizione fisica ix, 171 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
Soggetto non controllato Applied Statistics
Excel
Growth
Statistical software
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0266389
Snell, E. Joyce  
Dordrecht, : Springer, 1987
Materiale a stampa
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Applied Statistics : A Handbook of BMDP™ Analyses / E. J. Snell
Applied Statistics : A Handbook of BMDP™ Analyses / E. J. Snell
Autore Snell, E. Joyce
Pubbl/distr/stampa Dordrecht, : Springer, 1987
Descrizione fisica ix, 171 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
Soggetto non controllato Applied Statistics
Excel
Growth
Statistical software
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto This handbook is a realization of a long term goal of BMDP Statistical Software. As the software supporting statistical analysis has grown in breadth and depth to the point where it can serve many of the needs of accomplished statisticians it can also serve as an essential support to those needing to expand their knowledge of statistical applications. Statisticians should not be handicapped by heavy computation or by the lack of needed options. When Applied Statistics, Principle and Examples by Cox and Snell appeared we at BMDP were impressed with the scope of the applications discussed and felt that many statisticians eager to expand their capabilities in handling such problems could profit from having the solutions carried further, to get them started and guided to a more advanced level in problem solving. Who would be better to undertake that task than the authors of Applied Statistics? A year or two later discussions with David Cox and Joyce Snell at Imperial College indicated that a wedding of the problem statements and suggested solutions with control language to accomplish these analyses would further the learning process for many statisticians. They were willing to undertake the project. Joyce Snell has done an excellent job of melding the two approaches and has carried many of the problems a step further by suggesting alternate approaches and follow-up analyses.
Record Nr. UNICAMPANIA-VAN00266389
Snell, E. Joyce  
Dordrecht, : Springer, 1987
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Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser
Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser
Autore Fraser, Cynthia
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XIV, 475 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
Soggetto non controllato Business statistics
Excel
Excel 2016
Financial statistics
Inference
Nonlinear regression
Regression Modeling
Statistics for business
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0114500
Fraser, Cynthia  
[Cham], : Springer, 2016
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Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser
Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser
Autore Fraser, Cynthia
Pubbl/distr/stampa [Cham], : Springer, 2016
Descrizione fisica XIV, 475 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
Soggetto non controllato Business statistics
Excel
Excel 2016
Financial statistics
Inference
Nonlinear regression
Regression Modeling
Statistics for business
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00114500
Fraser, Cynthia  
[Cham], : Springer, 2016
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Business Statistics for Competitive Advantage with Excel 2019 and JMP : basics, model building, simulation and cases / Cynthia Fraser
Business Statistics for Competitive Advantage with Excel 2019 and JMP : basics, model building, simulation and cases / Cynthia Fraser
Autore Fraser, Cynthia
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xii, 417 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
Soggetto non controllato Business statistics
Conjoint Analysis
Excel
Excel 2019
Financial statistics
Forecasting
Inference
JMP
Nonlinear regression
Regression Modeling
Simulation
Statistics for business
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126755
Fraser, Cynthia  
Cham, : Springer, 2019
Materiale a stampa
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