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Mathematical statistics
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The concept ** Mathematical statistics** represents the subject, aboutness, idea or notion of resources found in **European University Institute Library**.

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Mathematical statistics
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**Mathematical statistics**represents the subject, aboutness, idea or notion of resources found in**European University Institute Library**.- Label
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- A Course in Mathematical Statistics and Large Sample Theory
- A Graduate Course on Statistical Inference
- A Multivariate Claim Count Model for Applications in Insurance
- A Parametric Approach to Nonparametric Statistics
- A Primer of Permutation Statistical Methods
- A Probability Path
- A basic course in statistics
- A computational approach to statistical learning
- A course in game theory
- A first course in probability and statistics
- Advanced Statistics for the Behavioral Sciences : A Computational Approach with R
- Advanced calculus with applications in statistics
- Advanced statistical methods in economics
- Advances in Algebra and Analysis : International Conference on Advances in Mathematical Sciences, Vellore, India, December 2017 - Volume I
- Advances in Data Science
- Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017
- Advances in Mathematics and Applications : Celebrating 50 years of the Institute of Mathematics, Statistics and Scientific Computing, University of Campinas
- Advances in Time Series Analysis and Forecasting : Selected Contributions from ITISE 2016
- Advances in inequalities from probability theory and statistics
- Algebraic and geometric methods in statistics
- Algebraic and geometric methods in statistics
- Algorithmic Learning in a Random World
- An Introduction to Algebraic Statistics with Tensors
- An Introduction to Bartlett Correction and Bias Reduction
- An introduction to probability and statistical inference
- An introduction to probability theory and statistics
- An introduction to statistical learning : with applications in R
- An introduction to statistical methods and data analysis
- Analysis and Modeling of Complex Data in Behavioral and Social Sciences
- Analysis of Doubly Truncated Data : An Introduction
- Analysis of Large and Complex Data
- Analysis of Neural Data
- Analysis of incidence rates
- Analysis of integrated data
- Analyzing Dependent Data with Vine Copulas : A Practical Guide With R
- Analyzing Qualitative Data with MAXQDA : Text, Audio, and Video
- Analyzing complex survey data
- Analyzing complex survey data
- Analyzing quantitative data : from description to explanation
- Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement
- Applications of Regression Techniques
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family
- Applied Bayesian modelling
- Applied Compositional Data Analysis : With Worked Examples in R
- Applied Statistical Inference : Likelihood and Bayes
- Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using SPSS, Stata, and Excel
- Applied regularization methods for the social sciences
- Applied statistics for business and management using Microsoft Excel
- Approximation theorems of mathematical statistics
- Audit Analytics : Data Science for the Accounting Profession
- Basic elements of computational statistics
- Basics of Modern Mathematical Statistics
- Basics of Modern Mathematical Statistics : Exercises and Solutions
- Bayesian Essentials with R
- Bayesian and likelihood methods in statistics and econometrics : essays in honor of George A. Barnard
- Bayesian inference in statistical analysis
- Bayesian modeling and computation in Python
- Between certainty and uncertainty : statistics and probability in five units with notes on historical origins and illustrative numerical examples
- Business Analytics : Data Science for Business Problems
- Coherence : In Signal Processing and Machine Learning
- Communications in statistics, Theory and methods
- Comparative statistical inference
- Comparison of statistical experiments
- Complexity and spatial networks : in search of simplicity
- Computational Reconstruction of Missing Data in Biological Research
- Computational methods for data analysis
- Computational statistics in data science
- Computer and Information Sciences : 31st International Symposium, ISCIS 2016, Kraków, Poland, October 27-28, 2016, Proceedings
- Conceptual anomalies in economics and statistics : lessons from the social experiment
- Confidence, likelihood, probability : statistical inference with confidence distributions
- Contemporary Biostatistics with Biopharmaceutical Applications
- Contemporary Developments in Statistical Theory : A Festschrift for Hira Lal Koul
- Contingency Table Analysis : Methods and Implementation Using R
- Contributions to Sampling Statistics
- Data Analysis, Machine Learning and Knowledge Discovery
- Data analysis and regression : a second course in statistics
- Data reduction; analysing and interpreting statistical data
- Data science : theory and applications
- Data science revealed : with feature engineering, data visualization, pipeline development, and hyperparameter tuning
- Dependence in probability and statistics : a survey of recent results (Oberwolfach, 1985)
- Descent of human sex ratio at birth : a dialogue between mathematics, biology and sociology
- Design, Analysis, and Interpretation of Genome-Wide Association Scans
- Differential Undercounts in the U.S. Census : Who is Missed?
- Differential geometry and statistics
- Differential geometry in statistical inference
- Directional statistics
- Discovering statistics
- Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding
- Discrete distributions
- Dose-Finding Designs for Early-Phase Cancer Clinical Trials : A Brief Guidebook to Theory and Practice
- Dynamic linear models with R
- Dynamics of statistical experiments
- Econometric analysis of stochastic dominance : concepts, methods, tools, and applications
- Educational Measurement for Applied Researchers : Theory into Practice
- Elementary applications of probability theory : with an introduction to stochastic differential equations
- Elements of Copula Modeling with R
- Elements of Probability and Statistics : An Introduction to Probability with de Finetti's Approach and to Bayesian Statistics
- Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models
- Empirical Likelihood and Quantile Methods for Time Series : Efficiency, Robustness, Optimality, and Prediction
- Empirical agent-based modelling : challenges and solutions, Volume 1, The characterisation and parameterisation of empirical agent-based models
- Empirical likelihood
- Entity-Oriented Search
- Epistemic Processes : A Basis for Statistics and Quantum Theory
- Equivalence between out-of-sample forecast : comparisons and Wald statistics
- Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics
- Essential statistical inference : theory and methods
- Essentials of statistical inference / : G.A. Young, R.L. Smith
- Euclidean Design Theory
- Euclidean Distance Matrices and Their Applications in Rigidity Theory
- Evidence-based statistics
- Examples in Parametric Inference with R
- Excel 2010 for Engineering Statistics : A Guide to Solving Practical Problems
- Exploratory data analysis with MATLAB
- Exploratory data analysis with MATLAB
- Exploring data tables, trends, and shapes
- Facts from figures
- Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science
- Finite Mixture of Skewed Distributions
- Forecasting and Assessing Risk of Individual Electricity Peaks
- Foundations of Applied Statistical Methods
- Foundations of info-metrics : modeling, inference, and imperfect information
- Foundations of statistics
- Frontiers in statistics : dedicated to Peter John Bickel in honor of his 65th birthday
- Functional and Phylogenetic Ecology in R
- Fundamental statistical inference : a computational approach
- Fundamentals of mathematical statistics
- Generalized Hyperbolic Secant Distributions : With Applications to Finance
- Generalized Linear Models With Examples in R
- Geometric Modeling in Probability and Statistics
- German-Japanese Interchange of Data Analysis Results
- Group representations in probability and statistics
- Growth curve models and applications : Indian Statistical Institute, Giridih, India, March 28-29, 2016
- Guide to intelligent data analysis : how to intelligently make sense of real data
- Guide to intelligent data science : how to intelligently make use of real data
- Handbook for applied modeling : non-Gaussian and correlated data
- Handbook for applied modeling : non-Gaussian and correlated data
- Handbook of Scan Statistics
- Handbook of regression modeling in people analytics : with examples in R and Python
- Handling missing data in ranked set sampling
- Harvard data science review : HDSR : a microscopic, telescopic, and kaleidoscopic view of data science
- High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray
- I concetti fondamentali della probabilità e della statistica
- In all likelihood : statistical modelling and inference using likelihood
- Independent Random Sampling Methods
- Inequalities and extremal problems in probability and statistics : selected topics
- Inference for heavy-tailed data analysis : applications in insurance and finance
- Information Geometry and Its Applications : On the Occasion of Shun-ichi Amari's 80th Birthday, IGAIA IV Liblice, Czech Republic, June 2016
- Information quality data analytics : the potential of data and analytics to generate knowledge
- Interaction effects in linear and generalized linear models : examples and applications using Stata
- Intermediate statistics and econometrics : a comparative approach
- Introduction to Data Analysis and Graphical Presentation in Biostatistics with R : Statistics in the Large
- Introduction to Probability with Statistical Applications
- Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control
- Introduction to Statistics : Using Interactive MM*Stat Elements
- Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R
- Introduction to applied statistics : a non-calculus based approach
- Introduction to mathematical statistics
- Introduction to mathematical statistics
- Introduction to mathematical statistics
- Introduction to mathematical statistics
- Introduction to mathematical statistics and its applications
- Introduction to power analysis : two-group studies
- Introduction to power analysis : two-group studies
- Introduction to probability and mathematical statistics
- Introduction to probability and statistics
- Introduction to probability and statistics for science, engineering, and finance
- Introduction to statistical methods
- Introduction to statistics and data analysis
- Introduction to the theory of statistics
- Introductory statistics
- Introductory statistics for business and economics
- Kendall's advanced theory of statistics
- Kendall's advanced theory of statistics, Vol.1, Distribution theory
- Learn ggplot2 Using Shiny App
- Learning Regression Analysis by Simulation
- Learning to live with statistics : from concept to practice
- Lecture notes series
- Lecture notes-monograph series
- Lectures on Dependency : Selected Topics in Multivariate Statistics
- Lectures on algebraic statistics
- Linear Time Series with MATLAB and OCTAVE
- Linear algebra and matrix analysis for statistics
- Linear statistical inference and its applications
- Logic of statistical inference
- Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models
- Machine Translation with Minimal Reliance on Parallel Resources
- Magnetic Resonance Brain Imaging : Modeling and Data Analysis Using R
- Markov Renewal and Piecewise Deterministic Processes
- Mathematical Foundations of Time Series Analysis : A Concise Introduction
- Mathematical Portfolio Theory and Analysis
- Mathematical Programming and Game Theory
- Mathematical and Statistical Methods for Actuarial Sciences and Finance
- Mathematical methods of statistics
- Mathematical statistics
- Mathematical statistics
- Mathematical statistics : an introduction to likelihood based inference
- Mathematical statistics and data analysis
- Mathematical statistics for economics and business
- Mathematical statistics with applications in R
- Mathematische Statistik
- Matrices for statistics
- Matrices for statistics
- Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016
- Matrix Algebra : Theory, Computations and Applications in Statistics
- Matrix analysis for statistics
- Matrix calculus and zero-one matrices : statistical and econometric applications
- Matrix calculus and zero-one matrices : statistical and econometric applications
- Matrix-Based Introduction to Multivariate Data Analysis
- Matrix-Based Introduction to Multivariate Data Analysis
- Methodology and Applications of Statistics : A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday
- Methods for estimation and inference in modern econometrics
- Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint
- Missing data
- Model Averaging
- Modeling and Stochastic Learning for Forecasting in High Dimensions
- Modeling and analysis of compositional data
- Modeling longitudinal data
- Modeling with data : tools and techniques for scientific computing
- Modern Psychometrics with R
- Modern Statistical Methods for Spatial and Multivariate Data
- Modern directional statistics
- Modern methods of data analysis
- Monte Carlo Methods
- Monte Carlo statistical methods
- Multistate analysis of life histories with R
- Multivariate Exponential Families : A Concise Guide to Statistical Inference
- Multivariate Statistical Analysis in the Real and Complex Domains
- NSF-CBMS regional conference series in probability and statistics
- Network Science : An Aerial View
- New Advances in Statistical Modeling and Applications
- New Advances in Statistics and Data Science
- New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR
- New Frontiers in Bayesian Statistics : BAYSM 2021, Online, September 1-3
- New Frontiers of Biostatistics and Bioinformatics
- New introduction to multiple time series analysis
- Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016
- Nonparametric Statistics for Applied Research
- Nonparametric econometrics
- Nonparametric econometrics
- Nonparametric estimation under shape constraints : estimators, algorithms, and asymptotics
- Observational studies
- Optimal Mixture Experiments
- Optimal statistical inference in financial engineering
- Optimization in statistics : with a view towards applications in management science and operations research
- Pairwise Multiple Comparisons : Theory and Computation
- Parameter Estimation in Fractional Diffusion Models
- Parameter Estimation in Stochastic Volatility Models
- Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
- Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data
- Parametric statistical inference : basic theory and modern approaches
- Parametric statistical models and likelihood
- Penalty, Shrinkage and Pretest Strategies : Variable Selection and Estimation
- Person-Centered Methods : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
- Pharmaceutical Statistics : MBSW 39, Muncie, Indiana, USA, May 16-18, 2016
- Possibility Theory for the Design of Information Fusion Systems
- Practical Tools for Designing and Weighting Survey Samples
- Principles of uncertainty
- Probability and statistical inference
- Probability and statistical inference
- Probability and statistical inference
- Probability and statistical inference : from basic principles to advanced models
- Probability and statistics : concepts and applications
- Probability and statistics : the science of uncertainty
- Probability and statistics by example
- Probability and statistics by example, Vol. 2, Markov chains : a primer in random processes and their applications
- Probability, statistics, and data : a fresh approach using R
- Probabilità, Statistica e Simulazione : Programmi applicativi scritti in R
- Probabilités et statistique
- Probably not : future prediction using probability and statistical inference
- Problem solving : a statistician's guide
- Python for Probability, Statistics, and Machine Learning
- Quantile regression
- Quantile regression : applications on experimental and cross section data using EViews / I GustiI Gusti Agung
- Quantitative Methods for the Social Sciences : A Practical Introduction with Examples in SPSS and Stata
- Quantitative Methods in Environmental and Climate Research
- Quantitative Psychology : 83rd Annual Meeting of the Psychometric Society, New York, NY 2018
- Quantitative risk management : concepts, techniques and tools
- Quantitative risk management : concepts, techniques, and tools
- Quick guide to IBM® SPSS® : statistical analysis with step-by-step examples
- R For Marketing Research and Analytics
- Random Graphs, Phase Transitions, and the Gaussian Free Field : PIMS-CRM Summer School in Probability, Vancouver, Canada, June 5–30, 2017
- Random Walks in the Quarter Plane : Algebraic Methods, Boundary Value Problems, Applications to Queueing Systems and Analytic Combinatorics
- Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs : Using R and SAS
- Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld
- Regional conference series in probability and statistics
- Regression : Models, Methods and Applications
- Renewal Processes
- Revision statistics
- Revolutionary mathematics : artificial intelligence, statistics and the logic of capitalism
- Robust correlation : theory and applications
- Robust statistical methods with R
- SIR - Model Supported by a New Density : Action Document for an Adapted COVID - Management
- Sampling theory of surveys with applications
- Selected Topics in Malliavin Calculus : Chaos, Divergence and So Much More
- Selected papers on probability and statistics
- Semiparametric Regression with R
- Shrinkage Estimation
- Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes
- Small sample size solutions : a guide for applied researchers and practitioners
- Software Reliability Modeling : Fundamentals and Applications
- Specification searches : ad hoc inference with nonexperimental data
- Spline models for observational data
- Statistical Analysis of Financial Data in R
- Statistical Analysis of Microbiome Data with R
- Statistical Analysis of Network Data with R
- Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry
- Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
- Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research
- Statistical Inference and Machine Learning for Big Data
- Statistical Methods for Imbalanced Data in Ecological and Biological Studies
- Statistical Methods in Social Science Research
- Statistical Modeling and Computation
- Statistical Modelling in Biostatistics and Bioinformatics : Selected Papers
- Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach
- Statistical Theory and Inference
- Statistical analysis : applications to business and economics
- Statistical analysis of circular data
- Statistical analysis of contingency tables
- Statistical analysis quick reference guidebook : with SPSS examples
- Statistical analysis with missing data
- Statistical analysis with missing data
- Statistical analysis with missing data
- Statistical and computational methods in data analysis
- Statistical data analytics : foundations for data mining, informatics, and knowledge discovery
- Statistical data fusion
- Statistical data science
- Statistical evidence : a likelihood paradigm
- Statistical independence in probability, analysis & number theory
- Statistical inference
- Statistical inference
- Statistical inference
- Statistical inference : an integrated Bayesian/likelihood approach
- Statistical inference : an integrated approach
- Statistical inference : based on the likelihood
- Statistical inference as severe testing : how to get beyond the statistics wars
- Statistical inference for engineers and data scientists
- Statistical inference in stochastic processes
- Statistical inference via convex optimization
- Statistical inference, econometric analysis and matrix algebra : festschrift in honour of Gotz Trenkler
- Statistical methods for comparative studies : techniques for bias reduction
- Statistical methods in research and production : with special reference to the chemical industry
- Statistical models for ordinal variables
- Statistical tables for biological, agricultural and medical research
- Statistical theory and method abstracts
- Statistical theory of sample survey design and analysis
- Statistical thinking in business
- Statistical treatment of experimental data
- Statistics
- Statistics
- Statistics
- Statistics
- Statistics and analysis of scientific data
- Statistics and probability with applications for engineers and scientists using Minitab, R and JMP
- Statistics for Data Science and Policy Analysis
- Statistics for experimenters : design, innovation, and discovery
- Statistics for high-dimensional data : methods, theory and applications
- Statistics for marketing and consumer research
- Statistics for research
- Statistics of extremes : theory and applications
- Statistics of random processes
- Statistics with Julia : Fundamentals for Data Science, Machine Learning and Artificial Intelligence
- Statistics without tears : a primer for non-mathematicians
- Stochastic Disorder Problems
- Stochastic Models, Statistics and Their Applications : Wrocław, Poland, February 2015
- Stochastic Processes and Applications : SPAS2017, Västerås and Stockholm, Sweden, October 4-6, 2017
- Structural time series analyser and modeller and predictor : STAMP 8.2
- Studies in Neural Data Science : StartUp Research 2017, Siena, Italy, June 25–27
- Survival Analysis with Correlated Endpoints : Joint Frailty-Copula Models
- Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
- Targeting Uplift : An Introduction to Net Scores
- Tensor methods in statistics
- Testing and Inspection Using Acceptance Sampling Plans
- Testing statistical assumptions in research
- Text Analysis with R for Students of Literature
- The Art of Progressive Censoring : Applications to Reliability and Quality
- The Contribution of Young Researchers to Bayesian Statistics : Proceedings of BAYSM2013
- The Design and Analysis of Computer Experiments
- The Empire of chance : how probability changed science and everyday life
- The Gini methodology : a primer on a statistical methodology
- The Implementation and constructive use of misspecification tests in econometrics
- The Measurement of Association : A Permutation Statistical Approach
- The Origins of Inequality : Mechanisms, Models, Policy
- The Significance Test Controversy Revisited : The Fiducial Bayesian Alternative
- The Work of Raymond J. Carroll : The Impact and Influence of a Statistician
- The advanced theory of statistics, Vol.2, Inference and relationship
- The empire of chance : how probability changed science and everyday life
- The methods of distances in the theory of probability and statistics
- The science of Bradley Efron : selected papers
- Theoretical and Applied Statistics : In Honour of Corrado Gini SIS 2015 Treviso, Italy
- Theoretical exercises in probability and statistics
- Theoretical statistics
- Theory and Application of Uniform Experimental Designs
- Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2018
- Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2019
- Theory of Nonparametric Tests
- Theory of statistical inference
- Theory of statistics
- Time Series Analysis and Forecasting : Selected Contributions from the ITISE Conference
- Time series with long memory
- Tools for statistical inference : methods for the exploration of posterior distributions and likelihood functions
- Topics in Percolative and Disordered Systems
- Translational Recurrences : From Mathematical Theory to Real-World Applications
- U-Statistics, Mm-Estimators and Resampling
- Uncertain judgements : eliciting experts' probabilities
- Understandable statistics : concepts and methods
- Understanding basic statistics
- Use and abuse of statistics
- Weighing the odds : a course in probability and statistics
- XML and Web Technologies for Data Sciences with R

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