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Statistical Problems in Particle Physics, Astrophysics and Cosmology : proceedings of PHYSTAT05, Oxford, UK, 12-15 September 2005 /
These proceedings comprise current statistical issues in analyzing data in particle physics, astrophysics and cosmology, as discussed at the PHYSTAT05 conference in Oxford. This is a continuation of the popular PHYSTAT series; previous meetings were held at CERN (2000), Fermilab (2000), Durham (2002...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
London : Singapore ; Hackensack, NJ :
Imperial College Press ; Distributed by World Scientific,
©2006.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 111 | 2 | |a Conference on Statistical Problems in Particle Physics, Astrophysics and Cosmology |d (2005 : |c Oxford, England) | |
| 245 | 1 | 0 | |a Statistical Problems in Particle Physics, Astrophysics and Cosmology : |b proceedings of PHYSTAT05, Oxford, UK, 12-15 September 2005 / |c editors, Louis Lyons. Müge Karagöz Ünel. |
| 246 | 3 | 0 | |a PHYSTAT05 |
| 260 | |a London : |b Imperial College Press ; |a Singapore ; |a Hackensack, NJ : |b Distributed by World Scientific, |c ©2006. | ||
| 300 | |a 1 online resource (xi, 310 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Bayes/frequentist. Frequentist and Bayesian statistics : A critique (keynote address) / D.R. Cox. Generalized frequentist methods for calculating p-values and confidence intervals / L. Demortier. Bayesian reference analysis / L. Demortier. Cosmological Bayesian model selection / R. Trotta. Towards reconciliation between Bayesian and frequentist reasoning / T. Podobnik and T. Zivko -- Goodness of fit. Goodness of fit -- With a view towards particle physics / S.L. Lauritzen. Goodness-of-fit for sparse distributions in high energy physics / B. Yabsley. Likelihood analysis and goodness-of-fit in low counting rate experiments / A. Ianni -- The "sieve" algorithm -- Sifting data in the real world / M.M. Block. X[symbol] test for the comparison of weighted and unweighted histograms / N.D. Gagunashvili -- Likelihood/parameter estimation. Reduction of the number of variables in parameter inference / G. Zech. Errors from the likelihood function / R.J. Barlow. Asymmetric statistical errors / R.J. Barlow. Bias-free estimation in multicomponent maximum likelihood fits with component-dependent templates / P. Catastini and G. Punzi. Least squares approach to the alignment of the generic high precision tracking system / P. Bruckman de Renstrom and S. Haywood. A new fast track-fit algorithm based on broken lines / V. Blobel -- Nuisance parameters/limits/discovery. Treatment of nuisance parameters in high energy physics, and possible justifications and improvements in the statistics literature / R.D. Cousins. Response (to cousins) / N. Reid. Ordering algorithms and confidence intervals in the presence of nuisance parameters / G. Punzi. Likelihood ratio intervals with Bayesian treatment of uncertainties : Coverage, power and combined experiments / J. Conrad and F. Tegenfeldtf. Limits and confidence intervals in the presence of nuisance parameters / W.A. Rolke, A.M. Lopez and J. Conrad. The Bayesian approach to setting limits : What to avoid / J. Heinrich. Statistically dual distributions in statistical inference / S.I. Bityukov [and others]. Program for evaluation of significance, confidence intervals and limits by direct calculation of probabilities / S.I. Bityukov [and others]. Examining the balance between optimising an analysis for best limit setting and best discovery potential / G.C. Hill [and others]. Statistical challenges for searches for new physics at the LHC / K. Cranmer. | |
| 505 | 8 | |a Machine learning. Separating signal from background using ensembles of rules / J.H. Friedman. Comment on "separating signal from background using ensembles of rules" / H.B. Prosper. Boosted decision trees, a powerful event classifier / B.P. Roe, H.-J. Yang and J. Zhu. Optimization of signal significance by bagging decision trees / I. Narsky (delivered by H.B. Prosper). Nonparametric Bayesian classification with massive datasets : Large-scale quasar discovery / A. Gray ... [eta l.]. Bayesian neural networks / P.C. Bhat and H.B. Prosper. Signal enhancement using multivariate classification techniques and physical constraints / R. Vilalta [and others] -- Software. Software for statistics for physics / J.T. Linnemann. Statistical computations with astrogrid and the grid / R. Nichol [and others]. gPlot : A quick introduction / M. Pivk (delivered by F. Le Diberder). Easy data analysis using R / M. Paterno. Statistics in root / R. Brun, A. Kreshuk and L. Moneta. The roofit toolkit for data modeling / W. Verkerke and D. Kirkby. An update on the goodness-of-fit statistical toolkit / B. Mascialino [and others]. CEDAR : Combined e-science data analysis resource / A. Buckley -- Visualisation. Visualising data / S. Holmes -- Astrophysics. Astrophysics with terabytes of data / A.S. Szalay. Multiscale geometric analysis of the 2DF data / J.-L. Starck, V.J. Martinez and E. Saar. Application of a multidimensional wavelet denoising algorithm for the detection and characterization of astrophysical sources of gamma rays / S.W. Digel [and others]. Higher criticism statistic : Theory and applications in non-Gaussian detection / J. Jin. Expected principal component analysis of cosmic microwave background anisotropies / S. Leach -- Time series. On-line inference for data streams / P. Clifford -- Deconvolution. Some aspects of statistical image modelling and restoration / D.M. Titterington. Iterative inversion methods for statistical inverse problems / N. Bissantz. Unfolding with system identification / N.D. Gagunashvili -- Summaries. Statistics in astrophysics and cosmology : Phystat05 / A.H. Jaffe. Summary of some statistical issues / N. Reid. Concluding talk : Physics / G.J. Feldman. | |
| 520 | |a These proceedings comprise current statistical issues in analyzing data in particle physics, astrophysics and cosmology, as discussed at the PHYSTAT05 conference in Oxford. This is a continuation of the popular PHYSTAT series; previous meetings were held at CERN (2000), Fermilab (2000), Durham (2002) and Stanford (2003). In-depth discussions on topical issues are presented by leading statisticians and research workers in their relevant fields. Included are invited reviews and contributed research papers presenting the latest, state-of-the-art techniques. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Statistical astronomy |v Congresses. | |
| 650 | 0 | |a Particles (Nuclear physics) |v Congresses. | |
| 650 | 0 | |a Astrophysics |v Congresses. | |
| 650 | 0 | |a Cosmology |v Congresses. | |
| 650 | 6 | |a Statistique stellaire |v Congrès. | |
| 650 | 6 | |a Particules (Physique nucléaire) |v Congrès. | |
| 650 | 6 | |a Astrophysique |v Congrès. | |
| 650 | 6 | |a Cosmologie |v Congrès. | |
| 650 | 7 | |a SCIENCE |x Physics |x Astrophysics. |2 bisacsh | |
| 650 | 7 | |a Astrophysics |2 fast | |
| 650 | 7 | |a Cosmology |2 fast | |
| 650 | 7 | |a Particles (Nuclear physics) |2 fast | |
| 650 | 7 | |a Statistical astronomy |2 fast | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 700 | 1 | |a Lyons, Louis. | |
| 700 | 1 | |a Ünel, Müge Karagöz. | |
| 776 | 0 | 8 | |i Print version: |a Conference on Statistical Problems in Particle Physics, Astrophysics and Cosmology (2005 : Oxford, England). |t Statistical Problems in Particle Physics, Astrophysics and Cosmology. |d London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific, ©2006 |z 1860946496 |z 9781860946493 |w (DLC) 2006283830 |w (OCoLC)70766248 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=210860 |z Texto completo |
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