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 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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.
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| New York, : Springer-Verlag, 1984 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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.
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| New York, : Springer-Verlag, 1984 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Dordrecht, : Springer, 1987 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Dordrecht, : Springer, 1987 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| [Cham], : Springer, 2016 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| [Cham], : Springer, 2016 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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
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| Cham, : Springer, 2019 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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