Mathematical statistics.
概観
| 著作: | 138 作品に 109 出版物中に 109 言語 | |
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タイトル
Making sense of data IIa practical approach to data visualization, advanced data mining methods, and applications
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Analyzing quantitative data[electronic resource] :from description to explanation /
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Matrix calculus and zero-one matrices[electronic resource] :statistical and econometric applications /
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Truth, possibility, and probability[electronic resource] :new logical foundations of probability and statistical inference /
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Statistical analysis quick reference guidebook[electronic resource] :with SPSS examples /
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Advances and challenges in space-time modelling of natural events[electronic resource] /
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Statistics and probability theory[electronic resource] :in pursuit of engineering decision support /
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Advanced statistical methods for the analysis of large data-sets[electronic resource] /
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Functional estimation for density, regression models and processes[electronic resource] /
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Everyday probability and statistics[electronic resource] :health, elections, gambling and war /
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Business statistics for competitive advantage with Excel 2007[electronic resource] :basics, model building, and cases /
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Probability and statistical models[electronic resource] :foundations for problems in reliability and financial mathematics /
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An introduction to model-based survey sampling with applications[electronic resource] /
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Methods for estimation and inference in modern econometrics[electronic resource] /
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An introduction to Bartlett correction and bias reduction[electronic resource] /
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Stability of the turnpike phenomenon in discrete-time optimal control problems[electronic resource] /
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Statistical methods and applications from a historical perspective[electronic resource] :selected issues /
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Analysis and modeling of complex data in behavioral and social sciences[electronic resource] /
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Applied data-centric social sciences[electronic resource] :concepts, data, computation, and theory /
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Excel 2013 for business statistics[electronic resource] :a guide to solving practical business problems /
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Mathematics of uncertainty modeling in the analysis of engineering and science problems /
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Empirical agent-based modelling - challenges and solutions.[electronic resource] /Volume 1,The characterisation and parameterisation of empirical agent-based models
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Contemporary developments in statistical theory[electronic resource] :a festschrift for Hira Lal Koul /
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Penalty, shrinkage and pretest strategies[electronic resource] :variable selection and estimation /
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Data analysis[electronic resource] :statistical and computational methods for scientists and engineers /
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Making sense of data I[electronic resource] :a practical guide to exploratory data analysis and data mining /
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Sampling designs dependent on sample parameters of auxiliary variables[electronic resource] /
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Sample size determination in clinical trials with multiple endpoints[electronic resource] /
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Algorithms, probability, networks, and games[electronic resource] :scientific papers and essays dedicated to Paul G. Spirakis on the occasion of his 60th birthday /
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Large-scale scientific computing[electronic resource] :10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015 : revised selected papers /
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Pseudo-populations[electronic resource] :a basic concept in statistical surveys /
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Humanities data in R[electronic resource] :exploring networks, geospatial data, images, and text /
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The linear model and hypothesis[electronic resource] :a general unifying theory /
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Excel 2013 for environmental sciences statistics[electronic resource] :a guide to solving practical problems /
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Introduction to statistics[electronic resource] :using interactive MM*Stat elements /
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Sampling theory, a renaissance[electronic resource] :compressive sensing and other developments /
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Ordered data analysis, modeling and health research methods[electronic resource] :in honor of H. N. Nagaraja's 60th Birthday /
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Excel 2013 for physical sciences statistics[electronic resource] :a guide to solving practical problems /
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Excel 2013 for human resource management statistics[electronic resource] :a guide to solving practical problems /
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Applied quantitative analysis in education and the social sciences[electronic resource] /
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Data assimilation[electronic resource] :mathematical concepts and instructive examples /
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Bayesians versus frequentists[electronic resource] :a philosophical debate on statistical reasoning /
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The fascination of probability, statistics and their applications[electronic resource] :in honour of Ole E. Barndorff-Nielsen /
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Clinical Data Analysis on a Pocket Calculator[electronic resource] :Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing /
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Elements of probability and statistics[electronic resource] :an introduction to probability with de Finetti's approach and to Bayesian statistics /
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Parametric and nonparametric inference for statistical dynamic shape analysis with applications[electronic resource] /
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Empirical modeling and data analysis for engineers and applied scientists[electronic resource] /
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A course in mathematical statistics and large sample theory[electronic resource] /
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Business statistics for competitive advantage with Excel 2016[electronic resource] :basics, model building, simulation and cases /
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Excel 2016 for social science statistics[electronic resource] :a guide to solving practical problems /
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Excel 2016 for educational and psychological statistics[electronic resource] :a guide to solving practical problems /
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Science dynamics and research production[electronic resource] :indicators, indexes, statistical laws and mathematical models /
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Statistical causal inferences and their applications in public health research[electronic resource] /
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Multiple access communications[electronic resource] :9th International Workshop, MACOM 2016, Aalborg, Denmark, November 21-22, 2016 : proceedings /
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Introduction to statistics and data analysis[electronic resource] :with exercises, solutions and applications in R /
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Statistical methods for field and laboratory studies in behavioral ecology[electronic resource] /
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Probability and statistics by example.[electronic resource] /I,Basic probability and statistics
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Applied modeling techniques and data analysis.[electronic resource] :computational data analysis methods and tools /1
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Evidence-based statistics[electronic resource] :an introduction to the evidential approach : from likelihood principle to statistical practice /
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主題