Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
概要
| 作品: | 107 作品在 107 项出版品 107 种语言 | |
|---|---|---|
书目信息
System identification, environmental modelling, and control system design[electronic resource] /
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(书目-语言数据,印刷品)
Computing statistics under interval and fuzzy uncertainty[electronic resource] :applications to computer science and engineering /
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Parametric statistical change point analysis[electronic resource] :with applications to genetics, medicine, and finance /
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Measurement uncertainties[electronic resource] :physical parameters and calibration of instruments /
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Fuzzy stochastic optimization[electronic resource] :theory, models and applications /
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Statistics and probability theory[electronic resource] :in pursuit of engineering decision support /
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Principal manifolds for data visualization and dimension reduction[electronic resource] /
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Probability and statistical models[electronic resource] :foundations for problems in reliability and financial mathematics /
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Determining self-preservation capability in pre-school children[electronic resource] /
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Random sets and random fuzzy sets as ill-perceived random variables[electronic resource] :an introduction for Ph.D. students and practitioners /
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The art of progressive censoring[electronic resource] :applications to reliability and quality /
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Applied data-centric social sciences[electronic resource] :concepts, data, computation, and theory /
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Propagation of interval and probabilistic uncertainty in cyberinfrastructure-related data processing and data fusion[electronic resource] /
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Reliability and availability of quality control based on wavelet computer vision[electronic resource] /
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Collaborative mathematics and statistics research[electronic resource] :topics from the 9th Annual UNCG Regional Mathematics and Statistics Conference /
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Stochastic models, statistics and their applications[electronic resource] :Wroclaw, Poland, February 2015 /
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Statistical analysis of natural disasters and related losses[electronic resource] /
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Tracking and sensor data fusion[electronic resource] :methodological framework and selected applications /
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Software reliability modeling[electronic resource] :fundamentals and applications /
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Proceedings of the international conference on health care systems engineering[electronic resource] /
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Excel 2010 for engineering statistics[electronic resource] :a guide to solving practical problems /
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Levy processes and their applications in reliability and storage[electronic resource] /
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Online damage detection in structural systems[electronic resource] :applications of proper orthogonal decomposition, and Kalman and particle filters /
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Data analysis[electronic resource] :statistical and computational methods for scientists and engineers /
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Bayesian methods for the physical sciences[electronic resource] :learning from examples in astronomy and physics /
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(书目-电子资源)
Theory and practice of risk assessment[electronic resource] :ICRA 5, Tomar, Portugal, 2013 /
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Everything you wanted to know about data analysis and fitting but were afraid to ask[electronic resource] /
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Modeling and stochastic learning for forecasting in high dimensions[electronic resource] /
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An introduction to queueing theory[electronic resource] :modeling and analysis in applications /
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Statistics for chemical and process engineers[electronic resource] :a modern approach /
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Operations research and big data[electronic resource] :IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO) /
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Modern nonparametric, robust and multivariate methods[electronic resource] :Festschrift in honour of Hannu Oja /
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Excel 2013 for engineering statistics[electronic resource] :a guide to solving practical problems /
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Excel 2010 for environmental sciences statistics[electronic resource] :a guide to solving practical problems /
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(书目-语言数据,印刷品)
Excel 2013 for environmental sciences statistics[electronic resource] :a guide to solving practical problems /
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Statistical analysis and data display[electronic resource] :an intermediate course with examples in R /
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Indexation and causation of financial markets[electronic resource] :nonstationary time series analysis method /
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Modern methodology and applications in spatial-temporal modeling[electronic resource] /
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Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014)[electronic resource] :science and technology /
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Excel 2013 for physical sciences statistics[electronic resource] :a guide to solving practical problems /
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Methodologies for service lfe prediction of buildings[electronic resource] :with a focus on facade claddings /
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Compression-based methods of statistical analysis and prediction of time series[electronic resource] /
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Time series analysis and forecasting[electronic resource] :selected contributions from the ITISE Conference /
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Modelling and control of dynamic systems using Gaussian process models[electronic resource] /
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Evolutionary global optimization, manifolds and applications[electronic resource] /
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Statistical analysis for high-dimensional data[electronic resource] :The Abel Symposium 2014 /
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Nonlinear modeling of solar radiation and wind speed time series[electronic resource] /
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(书目-电子资源)
Empirical modeling and data analysis for engineers and applied scientists[electronic resource] /
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Prior processes and their applications[electronic resource] :nonparametric bayesian estimation /
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Excel 2016 for engineering statistics[electronic resource] :a guide to solving practical problems /
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(书目-电子资源)
Excel 2016 for physical sciences statistics[electronic resource] :a guide to solving practical problems /
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(书目-电子资源)
Statistical methods for quality assurance[electronic resource] :basics, measurement, control, capability, and improvement /
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Excel 2016 for environmental sciences statistics[electronic resource] :a guide to solving practical problems /
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(书目-电子资源)
The multiple facets of partial least squares and related methods[electronic resource] :PLS, Paris, France, 2014 /
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National forest inventories[electronic resource] :assessment of wood availability and use /
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(书目-语言数据,印刷品)
An introduction to data analysis using aggregation functions in R[electronic resource] /
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Compositional data analysis[electronic resource] :CoDaWork, L'Escala, Spain, June 2015 /
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主题