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1. |
Record Nr. |
UNINA9910456864003321 |
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Titolo |
Advances in multivariate statistical methods [[electronic resource] /] / editor, Ashis SenGupta |
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Pubbl/distr/stampa |
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New Jersey, : World Scientific, c2009 |
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ISBN |
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1-282-44321-6 |
9786612443213 |
981-283-824-4 |
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Descrizione fisica |
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1 online resource (492 p.) |
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Collana |
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Statistical science and interdisciplinary research, , 1793-6195 ; ; v. 4 |
Platinum jubilee series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Multivariate analysis |
Statistics |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Foreword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P. K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M. S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D. K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K. V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G. N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B. C. Arnold and A. SenGupta |
7. Optimal Text Space Representation of Student Essays Using Latent Semantic Analysis A. Villacorta and S. R. Jammalamadaka8. Linear Regression for Random Measures M. M. Rao; 9. Mixed Multivariate Models for Random Sums and Maxima T. J. Kozubowski, A. K. Panorska and F. Biondi; 10. Estimation of the Multivariate Box-Cox Transformation Parameters M. Rahman and L. M. Pearson; 11. Generation of Multivariate Densities R. N. Rattihalli and A. N. Basugade; 12. Smooth Estimation of Multivariate Distribution and Density Functions Y. P. Chaubey |
13. Estimation Using Quantile Function Structure with Emphasis on |
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Weibull Distribution G. D. Kollia, G. S. Mudholkar and D. K. Srivastava14. On Optimal Estimating Functions in the Presence of Nuisance Parameters P. Mukhopadhyay; 15. Inference in Exponential Family Regression Models Under Certain Shape Constraints M. Banerjee; 16. Study of Optimal Adaptive Rule in Testing Problem S. K. Bhandari, R. Dutta and R. G. Niyogi; 17. The G-IG Analogies and Robust Tests for Inverse Gaussian Scale Parameters G. S. Mudholkar, H. Wang and R. Natarajan |
18. Clusterwise Regression Using Dirichlet Mixtures C. Kang and S. Ghosal19. Bayesian Analysis of Rank Data Using SIR A. K. Laha and S. Dongaonkar; 20. Bayesian Tests of Equality of Stratified Proportions for a Multiple Response Categorical Variable B. Nandram; 21. Respondent-Generated Intervals in Sample Surveys: A Summary S. J. Press and J. M. Tanur; 22. Quality Index and Mahalanobis D2 Statistic R. Dasgupta; 23. AQL Based Multiattribute Sampling Scheme A. Majumdar |
24. Multivariate Quality Management in Terms of a Desirability Measure and a Related Result on Purchase Decision: A Distributional Study D. Roy25. Time Series of Categorical Data Using Auto-Mutual Information with Application of Fitting an AR(2) Model A. Biswas and A. Guha; 26. Estimation of Integrated Covolatility for Asynchronous Assets in the Presence of Microstructure Noise R. Sen and Q. Xu; 27. Improving the Hansen-Hurwitz Estimator in PPSWR Sampling A. K. Adhikary |
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Sommario/riassunto |
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This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, et |
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2. |
Record Nr. |
UNISA996418181603316 |
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Autore |
May Andrew |
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Titolo |
The Science of Sci-Fi Music [[electronic resource] /] / by Andrew May |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (156 pages) |
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Collana |
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Science and Fiction, , 2197-1188 |
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Disciplina |
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Soggetti |
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Physics |
Sound |
Mathematics |
Music |
Hearing |
Electronic music - History and criticism |
Computer music - History and criticism |
Popular Science in Physics |
Acoustics |
Mathematics in Music |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Alien Sounds -- Musical Mathematics -- The Electronic Revolution -- Scientific Music -- Science Fiction and Music Culture -- Speculations on a Musical Theme. |
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Sommario/riassunto |
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The 20th century saw radical changes in the way serious music is composed and produced, including the advent of electronic instruments and novel compositional methods such as serialism and stochastic music. Unlike previous artistic revolutions, this one took its cues from the world of science. Creating electronic sounds, in the early days, required a well-equipped laboratory and an understanding of acoustic theory. Composition became increasingly “algorithmic”, with many composers embracing the mathematics of set theory. The result was some of the most intellectually challenging music ever written – yet also some of the best known, thanks to its rapid assimilation into sci-fi |
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movies and TV shows, from the electronic scores of Forbidden Planet and Dr Who to the other-worldly sounds of 2001: A Space Odyssey. This book takes a close look at the science behind "science fiction" music, as well as exploring the way sci-fi imagery found its way into the work of musicians like Sun Ra and David Bowie, and how music influenced the science fiction writings of Philip K. Dick and others. |
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