Mathematical statistics.
Overview
| Works: | 591 works in 241 publications in 241 languages | |
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Titles
Practical statistics for environmental and biological scientists /
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Statistical design and analysis of experiments : = with applications to engineering and science /
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Introduction to optimization methods and their application in statistics /
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Intermediate statistics and econometrics : = a comparative approach /
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The architecture of chance : = an introduction to the logic and arithmetic of probability /
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Statistical theory and modelling : = in honour of Sir David Cox, FRS /
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The Design of experiments : = statistical principles for practical applications /
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Essential wavelets for statistical applications and data analysis /
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Causation, prediction, and search / = Peter Spirtes, Clark Glymour, and Richard Scheines ; with additional material by David Heckerman ... [et al.].
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Chance rules : = an informal guide to probability, risk, and statistics /
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Fundamentals of modern statistical methods : = substantially improving power and accuracy /
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Model selection and multimodel inference : = a practical information-theoretic approach /
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The challenge of developing statistical literacy, reasoning and thinking /
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Statistics for experimenters : = design, innovation, and discovery /
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Introduction to probability and statistics for engineers and scientists /
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Improving statistical reasoning = theoretical models and practical implications /
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Model selection and multimodel inference = a practical information-theoretic approach /
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The Challenge of Developing Statistical Literacy, Reasoning and Thinking
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Quantum mechanics : = its early development and the road to entanglement /
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Model selection and multimodel inference = a practical information-theoretic approach /
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Information theoretic learning = Renyi's entropy and kernel perspectives /
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Recent developments in applied probability and statistics = dedicated to the memory of Jurgen Lehn /
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Advances in directional and linear statistics = a festschrift for Sreenivasa Rao Jammalamadaka /
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Evolutionary statistical procedures = an evolutionary computation approach to statistical procedures designs and applications /
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Principles and procedures of statistics : = a biometrical approach /
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Tools for statistical inference : = methods for the exploration of posterior distributions and likelihood functions /
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Statistical analysis of reliability and life-testing models : = theory and methods /
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Probability modeling and computer simulation : = an integrated introduction with applications to engineering and computer science /
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Probability, statistics, and queueing theory : = with computer science applications /
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Presenting statistics : = a manager's guide to the persuasive use of statistics /
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An Introduction to probability theory and mathematical statistics /
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Sense and nonsense of statistical inference : = controversy, misuse, and subtlety /
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Statistical methods, experimental design, and scientific inference /
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Into statistics : = a guide to understanding statistical concepts in engineering and the sciences /
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Model selection and inference : = a practical information-theoretic approach /
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Lectures on probability theory and statistics : = Ecole d'Etede Probabilites de Saint-Flour XXXIII - 2003 /
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The lace expansion and its applications : = Ecole d'Ete de Probabilites de Saint-Flour XXXIV-2004 /
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The stress-strength model and its generalizations = theory and applications /
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Applied adaptive statistical methods = tests of significance and confidence intervals /
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Exact and approximate modeling of linear systems = a behavioral approach /
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Statistical inference, econometric analysis and matrix algebra = festschrift in honour of Gotz Trenkler /
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Guide to intelligent data analysis = how to intelligently make sense of real data /
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Truth, possibility, and probability = new logical foundations of probability and statistical inference /
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An introduction to statistical inference and its applications with R /
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Probability and statistical models = foundations for problems in reliability and financial mathematics /
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Probability for statistics and machine learning : = fundamentals and advanced topics /
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Penalty, shrinkage and pretest strategies = variable selection and estimation /
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Data analysis = statistical and computational methods for scientists and engineers /
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Applied data-centric social sciences = concepts, data, computation, and theory /
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Statistical methods and applications from a historical perspective = selected issues /
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Cybernetics : = or control and communication in the animal and the machine /
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Linear models in matrix form = a hands-on approach for the behavioral sciences /
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Mathematical statistics and limit theorems = festschrift in honour of Paul Deheuvels /
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Making sense of data I = a practical guide to exploratory data analysis and data mining /
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Sampling designs dependent on sample parameters of auxiliary variables
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Humanities data in R = exploring networks, geospatial data, images, and text /
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Sampling theory, a renaissance = compressive sensing and other developments /
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The fascination of probability, statistics and their applications = in honour of Ole E. Barndorff-Nielsen /
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Clinical Data Analysis on a Pocket Calculator = Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing /
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Excel 2013 for physical sciences statistics = a guide to solving practical problems /
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Excel 2013 for human resource management statistics = a guide to solving practical problems /
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Business statistics for competitive advantage with Excel 2016 = basics, model building, simulation and cases /
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Excel 2016 for social science statistics = a guide to solving practical problems /
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Excel 2016 for educational and psychological statistics = a guide to solving practical problems /
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Science dynamics and research production = indicators, indexes, statistical laws and mathematical models /
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Statistical causal inferences and their applications in public health research
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Multiple access communications = 9th International Workshop, MACOM 2016, Aalborg, Denmark, November 21-22, 2016 : proceedings /
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Mathematische Statistik : = Für Mathematiker, Natur- und Ingenieurwissenschaftler /
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Modelling with the master equation = solution methods and applications in social and natural sciences /
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Introductory statistics and random phenomena = uncertainty, complexity and chaotic behavior in engineering and science /
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From statistics to mathematical finance = festschrift in honour of Winfried Stute /
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Targeted learning in data science = causal inference for complex longitudinal studies /
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Theoretical and applied statistics = in honour of Corrado Gini SIS 2015 Treviso, Italy /
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Probability and statistics by example.. I,. Basic probability and statistics
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Inference for heavy-tailed data : = applications in insurance and finance /
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Inequalities and extremal problems in probability and statistics : = selected topics /
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Fundamental statistical principles for the neurobiologist : = a survival guide /
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Advances in statistics = theory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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Understanding statistics and experimental design = how to not lie with statistics /
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Advances in contemporary statistics and econometrics = festschrift in honor of Christine Thomas-Agnan /
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Matrix calculus and zero-one matrices = statistical and econometric applications /
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Statistics and probability theory = in pursuit of engineering decision support /
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Everyday probability and statistics = health, elections, gambling and war /
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Applications of linear and nonlinear models = fixed effects, random effects, and total least squares /
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Business statistics for competitive advantage with Excel 2007 = basics, model building, and cases /
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An Introduction to statistical learning : = with applications in R /
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Applied quantitative analysis in education and the social sciences /
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Between certainty and uncertainty : = statistics and probability in five units with notes on historical origins and illustrative numerical examples /
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Empirical agent-based modelling - challenges and solutions.. Volume 1,. The characterisation and parameterisation of empirical agent-based models
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Contemporary developments in statistical theory = a festschrift for Hira Lal Koul /
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Viability and resilience of complex systems : = concepts, methods and case studies from ecology and society /
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Stability of the turnpike phenomenon in discrete-time optimal control problems
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Excel 2013 for business statistics = 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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Growth curve and structural equation modeling = topics from the Indian Statistical Institute /
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Higher-order growth curves and mixture modeling with Mplus : = a practical guide /
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Algorithms, probability, networks, and games = scientific papers and essays dedicated to Paul G. Spirakis on the occasion of his 60th birthday /
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Large-scale scientific computing = 10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015 : revised selected papers /
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Excel 2013 for environmental sciences statistics = a guide to solving practical problems /
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Ordered data analysis, modeling and health research methods = in honor of H. N. Nagaraja's 60th Birthday /
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Bayesians versus frequentists = a philosophical debate on statistical reasoning /
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Elements of probability and statistics = 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
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Empirical modeling and data analysis for engineers and applied scientists
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Introduction to statistics and data analysis = with exercises, solutions and applications in R /
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Introductory statistics for business and economics = theory, exercises and solutions /
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An introduction to statistical analysis in research = with applications in the biological and life sciences /
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Pattern recognition applications and methods = 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019 : revised selected papers /
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The career of a research statistician = from consulting to theoretical development /
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Advanced studies in behaviormetrics and data science = essays in honor of Akinori Okada /
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Statistical methods for field and laboratory studies in behavioral ecology
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Excel 2019 for social science statistics = a guide to solving practical problems /
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Data science revealed = with feature engineering, data visualization, pipeline development, and hyperparameter tuning /
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Festschrift in honor of R. Dennis Cook = fifty years of contribution to statistical science /
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Advances in compositional data analysis = festschrift in honour of Vera Pawlowsky-Glahn /
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Statistical learning with math and Python = 100 exercises for building logic /
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Financial econometrics, mathematics and statistics = theory, method and application /
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Statistical methods for imbalanced data in ecological and biological studies
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Sequential analysis : = hypothesis testing and changepoint detection /
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Evidence-based statistics = an introduction to the evidential approach : from likelihood principle to statistical practice /
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Guide to intelligent data science = how to intelligently make use of real data /
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Parallel Problem Solving from Nature - PPSN XVI = 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020 : proceedings.. Part II /
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Parallel problem solving from nature - PPSN XVI = 16th International Conference, PPSN 2020, Leiden, the Netherlands, September 5-9, 2020 : proceedings.. Part I /
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Excel 2019 for human resource management statistics = a guide to solving practical problems /
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Directional statistics for innovative applications = a bicentennial tribute to Florence Nightingale /
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Important applications of the Behrens-Fisher statistic and the false discovery rate
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Fundamentals of statistical inference = what is the meaning of random error? /
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The Empire of chance : = how probability changed science and everyday life /
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Statistical data analytics : = foundations for data mining, informatics, and knowledge discovery /
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Statistical learning with sparsity : = the lasso and generalizations /
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Stochastic modeling and mathematical statistics : = a text for statisticians and quantitative scientists /
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Illuminating statistical analysis using scenarios and simulations /
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Statistical intervals : = a guide for practitioners and researchers /
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Statistics and probability with applications for engineers and scientists using Minitab, R and JMP
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Statistical foundations, reasoning and inference = for science and data science /
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Computational and methodological statistics and biostatistics = contemporary essays in advancement /
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Fundamentals of high-dimensional statistics = with exercises and R labs /
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Applied probability = from random experiments to random sequences and statistics /
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Probability, statistics and simulation = with application programs written in R /
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Applied modeling techniques and data analysis. = computational data analysis methods and tools /. 1
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Trends in mathematical, information and data sciences = a tribute to Leandro Pardo /
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Research papers in statistical inference for time series and related models = essays in honor of Masanobu Taniguchi /
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Business statistics for competitive advantage with Excel and JMP = basics, model building, simulation, and cases /
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Introduction to probability, statistics & R = foundations for data-based sciences /
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Introduction to probability, statistical methods, design of experiments and statistical quality control
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Evaluation platform of sustainability for global systems = statistical approach to geospatial information for big data integration /
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Applied extreme value statistics = with a special focus on the ACER method /
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Statistics today = everyday applications, research questions, insights, and challenges /
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Humanities data in R = exploring networks, geospatial data, images, and text /
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Probability and statistical models in operations research, computer and management sciences = including applications to reliability models /
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Model-based clustering and classification for data science = with applications in R /
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Advanced statistical methods in process monitoring, finance, and environmental science = essays in honour of Wolfgang Schmid /
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Handbook of regression modeling in people analytics = with examples in R and Python /
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