Mathematical statistics.
Overview
| Works: | 618 works in 354 publications in 354 languages | |
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Titles
Advances in the theory and practice of statistics :a volume in honor of Samuel Kotz /
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Operational subjective statistical methods :a mathematical, philosophical, and historical introduction /
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Statistical theory and applications :papers in honor of Herbert A. David /
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Probability, statistics, and optimisation :a tribute to Peter Whittle /
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Statistical analysis of reliability and life-testing models :theory and methods /
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Festschrift for Lucien Le Cam :research papers in probability and statistics /
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Intermediate statistics and econometrics :a comparative approach /
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An introduction to probability theory and mathematical statistics /
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Tools for statistical inference :methods for the exploration of posterior distributions and likelihood functions /
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Statistical design and analysis of experiments :with applications to engineering and science /
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Modern elementary probability and statistics :with statistical programming in SAS, MINITAB, & BMDP /
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Modern elementary statistics, with theoretical supplement and BASIC programming /
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Statistical independence in probability, analysis and number theory /
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Introduction to probability and statistics for engineers and scientists /
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Advances in combinatorial methods and applications to probability and statistics /
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Statistical methods, experimental design, and scientific inference /
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Probability theory, random processes and mathematical statistics /
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Model selection and inference :a practical information-theoretic approach /
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Probability, statistics, and queueing theory :with computer science applications /
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Chance rules :an informal guide to probability, risk, and statistics /
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Model selection and multimodel inference :a practical information-theoretic approach /
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Applied adaptive statistical methods :tests of significance and confidence intervals /
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Algebraic statistics :computational commutative algebra in statistics /
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An introduction to probability theory and mathematical statistics /
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Classical methods of statistics :with application in fusion-oriented plasma physics /
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Student solutions manual for Mendenhall, Beaver, and Beaver's Introduction to probability and statistics /
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In all likelihood :statistical modelling and inference using likelihood /
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Introduction to probability and statistics for engineers and scientists /
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Data analysis :statistical and computational methods for scientists and engineers /
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Student solutions manual for Devore's Probability and statistics for engineering and the sciences /
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Matrix calculus and zero-one matrices :statistical and econometric applications /
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Exact and approximate modeling of linear systems :a behavioral approach /
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Extreme value and related models with applications in engineering and science /
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Cram101 textbook outlines to accompany an introduction to statistical methods and data analysis, Ott and Longnecker, 5th edition.
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Reliability, life testing and the prediction of service lives :for engineers and scientists /
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Making sense of data :a practical guide to exploratory data analysis and data mining /
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Applied adaptive statistical methodstests of significance and confidence intervals /
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Contemporary Bayesian and frequentist statistical research methods for natural resource scientists /
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Advances in combinatorial methods and applications to probability and statistics /
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Probability and statistics by example.Vol. 2,Markov chains : a primer in random processes and their applications /
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Advances in statistical modeling and inference :essays in honor of Kjell A. Doksum /
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Statistical inference, econometric analysis and matrix algebrafestschrift in honour of Gotz Trenkler /
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Frontiers in statistics :dedicated to Peter John Bickel in honor of his 65th birthday /
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Linear and generalized linear mixed models and their applications /
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Statistical analysis quick reference guidebook :with SPSS examples /
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Model selection and multimodel inferencea practical information-theoretic approach /
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Guide to intelligent data analysishow to intelligently make sense of real data /
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Recent developments in applied probability and statisticsdedicated to the memory of Jurgen Lehn /
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Introduction to probability and statistics for science, engineering, and finance /
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An introduction to statistical inference and its applications with R /
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Statistical inference :an integrated Bayesian/likelihood approach /
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Advances in directional and linear statisticsa festschrift for Sreenivasa Rao Jammalamadaka /
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Evolutionary statistical proceduresan evolutionary computation approach to statistical procedures designs and applications /
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Targeted learningcausal inference for observational and experimental data /
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Viability and resilience of complex systemsconcepts, methods and case studies from ecology and society /
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Matrix calculus and zero-one matricesstatistical and econometric applications /
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Truth, possibility, and probabilitynew logical foundations of probability and statistical inference /
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Probability and statistical models :foundations for problems in reliability and financial mathematics /
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Statistics and probability theoryin pursuit of engineering decision support /
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Introduction to probability and statistics for engineers and scientists /
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Applications of linear and nonlinear modelsfixed effects, random effects, and total least squares /
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Business statistics for competitive advantage with Excel 2007basics, model building, and cases /
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Probability and statistical modelsfoundations for problems in reliability and financial mathematics /
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What is a P-value anyway? :34 stories to help you actually understand statistics /
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Essential Bayesian models :a derivative of Handbook of statistics : Bayesian thinking - modeling and computation, vol. 25 /
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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 theorya festschrift for Hira Lal Koul /
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Penalty, shrinkage and pretest strategiesvariable selection and estimation /
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Data analysisstatistical and computational methods for scientists and engineers /
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Statistical methods and applications from a historical perspectiveselected issues /
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Applied data-centric social sciencesconcepts, data, computation, and theory /
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Stability of the turnpike phenomenon in discrete-time optimal control problems
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Linear models in matrix forma hands-on approach for the behavioral sciences /
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Sequential analysis :hypothesis testing and changepoint detection /
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In all likelihood :statistical modelling and inference using likelihood /
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Statistics and probability with applications for engineers and scientists /
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Making sense of data I :a practical guide to exploratory data analysis and data mining /
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Excel 2013 for business statisticsa 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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Mathematical statistics and limit theoremsfestschrift in honour of Paul Deheuvels /
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Making sense of data Ia practical guide to exploratory data analysis and data mining /
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Growth curve and structural equation modelingtopics from the Indian Statistical Institute /
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Algorithms, probability, networks, and gamesscientific papers and essays dedicated to Paul G. Spirakis on the occasion of his 60th birthday /
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Large-scale scientific computing10th International Conference, LSSC 2015, Sozopol, Bulgaria, June 8-12, 2015 : revised selected papers /
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Humanities data in Rexploring networks, geospatial data, images, and text /
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Excel 2013 for environmental sciences statisticsa guide to solving practical problems /
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Sampling theory, a renaissancecompressive sensing and other developments /
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Ordered data analysis, modeling and health research methodsin honor of H. N. Nagaraja's 60th Birthday /
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Bayesians versus frequentistsa philosophical debate on statistical reasoning /
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The fascination of probability, statistics and their applicationsin honour of Ole E. Barndorff-Nielsen /
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Clinical Data Analysis on a Pocket CalculatorUnderstanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing /
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Elements of probability and statisticsan 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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Topics in nonparametric statistics :proceedings of the first Conference of the International Society for Nonparametric Statistics /
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Excel 2013 for physical sciences statisticsa guide to solving practical problems /
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Excel 2013 for human resource management statisticsa guide to solving practical problems /
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Empirical modeling and data analysis for engineers and applied scientists
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Business statistics for competitive advantage with Excel 2016basics, model building, simulation and cases /
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Excel 2016 for social science statisticsa guide to solving practical problems /
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Excel 2016 for educational and psychological statisticsa guide to solving practical problems /
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Science dynamics and research productionindicators, indexes, statistical laws and mathematical models /
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Statistical causal inferences and their applications in public health research
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Introduction to probability and statistics for engineers and scientists /
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Multiple access communications9th International Workshop, MACOM 2016, Aalborg, Denmark, November 21-22, 2016 : proceedings /
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Introduction to statistics and data analysiswith exercises, solutions and applications in R /
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Mathematische StatistikFür Mathematiker, Natur- und Ingenieurwissenschaftler /
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Modelling with the master equationsolution methods and applications in social and natural sciences /
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Introductory statistics and random phenomenauncertainty, complexity and chaotic behavior in engineering and science /
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From statistics to mathematical financefestschrift in honour of Winfried Stute /
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Statistical learning with sparsity :the lasso and generalizations /
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Asymptotic analysis of mixed effects models :theory, applications, and open problems /
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Introductory statistics for business and economicstheory, exercises and solutions /
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Targeted learning in data sciencecausal inference for complex longitudinal studies /
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An introduction to statistical analysis in researchwith applications in the biological and life sciences /
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Data science and predictive analyticsbiomedical and health applications using R /
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Introduction to statistical methods, design of experiments and statistical quality control
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Information geometry and its applicationson the occasion of Shun-ichi Amari's 80th birthday, IGAIA IV Liblice, Czech Republic, June 2016 /
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Advanced statistics for the behavioral sciencesa computational approach wiith R /
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Interaction effects in linear and generalized linear models :examples and applications using Stata /
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Theoretical and applied statisticsin honour of Corrado Gini SIS 2015 Treviso, Italy /
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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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Business statistics for competitive advantage with Excel 2019 and JMPbasics, model building, simulation and cases /
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Data-driven computational methods :parameter and operator estimations /
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Model-based clustering and classification for data science :with applications in R /
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Statistical methods for imbalanced data in ecological and biological studies /
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Confidence, likelihood, probability :statistical inference with confidence distributions /
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Mathematical statistics :an introduction to likelihood based inference /
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Advanced studies in behaviormetrics and data scienceessays in honor of Akinori Okada /
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The career of a research statisticianfrom consulting to theoretical development /
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Pattern recognition applications and methods8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019 : revised selected papers /
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Statistical methods for field and laboratory studies in behavioral ecology
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Guide to intelligent data sciencehow to intelligently make use of real data /
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Parallel Problem Solving from Nature - PPSN XVI16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020 : proceedings.Part II /
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Parallel problem solving from nature - PPSN XVI16th International Conference, PPSN 2020, Leiden, the Netherlands, September 5-9, 2020 : proceedings.Part I /
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Computational and methodological statistics and biostatisticscontemporary essays in advancement /
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Understanding statistics and experimental designhow to not lie with statistics /
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Financial econometrics, mathematics and statisticstheory, method and application /
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Statistical methods for imbalanced data in ecological and biological studies
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Excel 2019 for human resource management statisticsa guide to solving practical problems /
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Probably not :future prediction using probability and statistical inference /
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Probability and statistical inference :from basic principles to advanced models /
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Festschrift in honor of R. Dennis Cookfifty years of contribution to statistical science /
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Advances in compositional data analysisfestschrift in honour of Vera Pawlowsky-Glahn /
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Advances in statisticstheory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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Excel 2019 for social science statisticsa guide to solving practical problems /
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Data science revealedwith feature engineering, data visualization, pipeline development, and hyperparameter tuning /
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Advances in contemporary statistics and econometricsfestschrift in honor of Christine Thomas-Agnan /
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Statistical learning with math and Python100 exercises for building logic /
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Evidence-based statisticsan introduction to the evidential approach : from likelihood principle to statistical practice /
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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 inferencefor science and data science /
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Statistics for data scientists :an introduction to probability, statistics, and data analysis /
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Sequential change detection and hypothesis testing :general non-i.i.d. stochastic models and asymptotically optimal rules /
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Applied probabilityfrom random experiments to random sequences and statistics /
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Directional statistics for innovative applicationsa 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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Applied modeling techniques and data analysis.computational data analysis methods and tools /1
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Fundamentals of statistical inferencewhat is the meaning of random error? /
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Probability, statistics and simulationwith application programs written in R /
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Essential math for data science :take control of your data with fundamental linear algebra, probability, and statistics /
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Research papers in statistical inference for time series and related modelsessays in honor of Masanobu Taniguchi /
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Trends in mathematical, information and data sciencesa tribute to Leandro Pardo /
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Applied extreme value statisticswith a special focus on the ACER method /
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Statistics todayeveryday applications, research questions, insights, and challenges /
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Evaluation platform of sustainability for global systemsstatistical approach to geospatial information for big data integration /
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Model-based clustering and classification for data sciencewith applications in R /
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Handbook of regression modeling in people analyticswith examples in R and Python /
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Business statistics for competitive advantage with Excel and JMPbasics, model building, simulation, and cases /
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Introduction to probability, statistics & Rfoundations for data-based sciences /
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Introduction to probability, statistical methods, design of experiments and statistical quality control
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Humanities data in Rexploring networks, geospatial data, images, and text /
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Probability and statistical models in operations research, computer and management sciencesincluding applications to reliability models /
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Advanced statistical methods in process monitoring, finance, and environmental scienceessays in honour of Wolfgang Schmid /
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Quantile regressionapplications on experimental and cross section data using EViews /
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The false discovery rateits meaning, interpretation and application in data science /
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