Statistics
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Statistics
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- 2019-20 MATRIX Annals
- A Beginner's Guide to Statistics for Criminology and Criminal Justice Using R
- A Comprehensive Textbook on Sample Surveys
- A Concise Guide to Market Research : The Process, Data, and Methods Using IBM SPSS Statistics
- A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R
- A First Course in Linear Models and Design of Experiments
- A First Course in Statistical Inference
- A Study of Quality Management of Official Statistics in China
- A Time Series Approach to Option Pricing : Models, Methods and Empirical Performances
- A Tribute to the Legend of Professor C. R. Rao : The Centenary Volume
- Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law
- Accurate Case Outcome Modeling : Entrepreneur Policy, Management, and Strategy Applications
- Advanced Linear Modeling : Statistical Learning and Dependent Data
- Advanced Sampling Methods
- Advanced Statistics for Testing Assumed Casual Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis
- Advanced Statistics in Criminology and Criminal Justice
- Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada
- Advanced Studies in Classification and Data Science
- Advanced Studies of Financial Technologies and Cryptocurrency Markets
- Advances and Innovations in Statistics and Data Science
- Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn
- Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan
- Advances in Cross-Section Data Methods in Applied Economic Research : 2019 International Conference on Applied Economics (ICOAE 2019)
- Advances in Econometrics, Operational Research, Data Science and Actuarial Studies : Techniques and Theories
- Advances in Longitudinal Data Methods in Applied Economic Research : 2020 International Conference on Applied Economics (ICOAE)
- Advances in Statistics - Theory and Applications : Honoring the Contributions of Barry C. Arnold in Statistical Science
- Advances on Links Between Mathematics and Industry : CTMI 2019
- Advancing Human Assessment : The Methodological, Psychological and Policy Contributions of ETS
- Agent-Based Modelling of Worker Exploitation : Slave from the Machine
- An Introduction to Bayesian Inference, Methods and Computation
- An Introduction to Clustering with R
- An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch
- An Introduction to Latent Class Analysis : Methods and Applications
- An Introduction to R for Quantitative Economics : Graphing, Simulating and Computing
- An Introduction to Sequential Monte Carlo
- An Introduction to Statistical Learning : with Applications in R
- An Introduction to Statistics with Python : With Applications in the Life Sciences
- Analysis of Data from Randomized Controlled Trials : A Practical Guide
- Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019
- Analyzing Contemporary Fertility
- Analyzing Financial Data and Implementing Financial Models Using R
- Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement
- Applied Conjoint Analysis
- Applied Economics in the Digital Era : Essays in Honor of Gary Madden
- Applied Multiple Imputation : Advantages, Pitfalls, New Developments and Applications in R
- Applied Multivariate Statistical Analysis
- Applied Probability : From Random Experiments to Random Sequences and Statistics
- Applied Research Methods in Urban and Regional Planning
- Applied Statistical Methods : ISGES 2020, Pune, India, January 2-4
- Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions
- Applied Time Series Analysis and Forecasting with Python
- Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology
- Asymptotic Statistical Inference : A Basic Course Using R
- Asymptotic Statistics in Insurance Risk Theory
- Audit Analytics : Data Science for the Accounting Profession
- Bank Management and Control : Strategy, Capital and Risk Management
- Bank Management and Control : Strategy, Pricing, Capital and Risk Management
- Basic Statistics in Criminology and Criminal Justice
- Bayes Factors for Forensic Decision Analyses with R
- Bayesian Analysis of Demand Under Block Rate Pricing
- Bayesian Compendium
- Bayesian Inference and Computation in Reliability and Survival Analysis
- Bayesian Inference of State Space Models : Kalman Filtering and Beyond
- Bayesian Optimization with Application to Computer Experiments
- Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions
- Benchmarking for Performance Evaluation : A Production Frontier Approach
- Benefit Transfer of Environmental and Resource Values : A Guide for Researchers and Practitioners
- Big Data and Social Media Analytics : Trending Applications
- Bootstrap Methods : With Applications in R
- Business Analytics : Data Science for Business Problems
- Business Intelligence and Modelling : Unified Approach with Simulation and Strategic Modelling in Entrepreneurship
- Business Research Methods : An Applied Orientation
- Capture-Recapture: Parameter Estimation for Open Animal Populations
- Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018
- Census 2020 : Understanding the Issues
- Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences
- Classification and Data Analysis : Theory and Applications
- Co-patenting: An Analytic Tool for Cooperative Research and Development
- Complexity in Economics: Cutting Edge Research
- Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree
- Computational Frameworks for Political and Social Research with Python
- Computational and Methodological Statistics and Biostatistics : Contemporary Essays in Advancement
- Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference
- Configural Frequency Analysis : Foundations, Models, and Applications
- Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang
- Continuous-Time Markov Decision Processes : Borel Space Models and General Control Strategies
- Contributions on Theory of Mathematical Statistics
- Convergence Clubs in Labor Productivity and its Proximate Sources : Evidence from Developed and Developing Countries
- Copula-Based Markov Models for Time Series : Parametric Inference and Process Control
- Counting Statistics for Dependent Random Events : With a Focus on Finance
- Cricket Performance Management : Mathematical Formulation and Analytics
- Cultural Manifold Analysis on National Character : Methodology of Cross-National and Longitudinal Survey
- DIIS Theory and Methodology in Think Tanks
- Data Analysis and Classification : Methods and Applications
- Data Analysis and Rationality in a Complex World
- Data Analysis with SPSS for Survey-based Research
- Data Mining with SPSS Modeler : Theory, Exercises and Solutions
- Data Science Techniques for Cryptocurrency Blockchains
- Data Science and SDGs : Challenges, Opportunities and Realities
- Data Science and Social Research II : Methods, Technologies and Applications
- Data Science for Public Policy
- Defining Enterprise Data and Analytics Strategy : Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies
- Demography of Population Health, Aging and Health Expenditures
- Design and Analysis of Subgroups with Biopharmaceutical Applications
- Design of Observational Studies
- Determining Sample Size and Power in Research Studies : A Manual for Researchers
- Developments in Demographic Forecasting
- Developments in Demography in the 21st Century
- Diagnostic Methods in Time Series
- Directional Statistics for Innovative Applications : A Bicentennial Tribute to Florence Nightingale
- Disease Prevention and Health Promotion in Developing Countries
- Doing Social Research and Publishing Results : A Guide to Non-native English Speakers
- ESG Investment in the Global Economy
- Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances
- Econometric Analysis of Panel Data
- Econometric Evaluation of Socio-Economic Programs : Theory and Applications
- Econometric Evaluation of Socio-Economic Programs : Theory and Applications
- Econometrics
- Econometrics in Theory and Practice : Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
- Effective Statistical Learning Methods for Actuaries I : GLMs and Extensions
- Effective Statistical Learning Methods for Actuaries II : Tree-Based Methods and Extensions
- Effective Statistical Learning Methods for Actuaries III : Neural Networks and Extensions
- Emerging Topics in Modeling Interval-Censored Survival Data
- Empirical Investigations of Social Space
- Empirical Research in Statistics Education
- Empirical Social Research : An Introduction
- Energy Trading and Risk Management : Commentary on Arbitrage, Risk Measurement, and Hedging Strategy
- Engineering Statistics : An Introduction
- Environmental Data Analysis : An Introduction with Examples in R
- Epistemic Processes : A Basis for Statistics and Quantum Theory
- Eserciziario di Statistica Inferenziale
- Essentials of Excel VBA, Python, and R : Volume I: Financial Statistics and Portfolio Analysis
- Event Attendance Prediction in Social Networks
- Excel 2019 for Advertising Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Biological and Life Sciences Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Business Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Educational and Psychological Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Engineering Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Environmental Sciences Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Health Services Management Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Human Resource Management Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Marketing Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Physical Sciences Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Social Science Statistics : A Guide to Solving Practical Problems
- Excel 2019 for Social Work Statistics : A Guide to Solving Practical Problems
- Excel 2019 in Applied Statistics for High School Students : A Guide to Solving Practical Problems
- Expository Moments for Pseudo Distributions
- Extreme Value Theory with Applications to Natural Hazards : From Statistical Theory to Industrial Practice
- Fading Foundations : Probability and the Regress Problem
- Festschrift in Honor of R. Dennis Cook : Fifty Years of Contribution to Statistical Science
- Financial Econometrics and Empirical Market Microstructure
- Finite Form Representations for Meijer G and Fox H Functions : Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R
- Flow of Funds Analysis : Innovation and Development
- Frontiers in Statistical Quality Control 13
- Functional and High-Dimensional Statistics and Related Fields
- Fundamentals of Data Analytics : With a View to Machine Learning
- Fundamentals of High-Dimensional Statistics : With Exercises and R Labs
- Fundamentals of Statistical Inference : What is the Meaning of Random Error?
- Generalized Mathieu Series
- Geographical Perspectives on International Trade
- Geometric Structures of Statistical Physics, Information Geometry, and Learning : SPIGL'20, Les Houches, France, July 27-31
- Geospatial Optimization of Solar Energy : Cases from Around the World
- Geostatistics for Compositional Data with R
- Grey Systems Analysis : Methods, Models and Applications
- Handbook of Financial Econometrics and Statistics
- Handbook of Regional Science
- Health Care Provision and Patient Mobility : Health Integration in the European Union
- Heavy-Tailed Time Series
- Heterogeneity in Statistical Genetics : How to Assess, Address, and Account for Mixtures in Association Studies
- High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory
- High-Frequency Statistics with Asynchronous and Irregular Data
- Higher Education Policy Analysis Using Quantitative Techniques : Data, Methods and Presentation
- How Data Quality Affects our Understanding of the Earnings Distribution
- How to Build a Modern Tontine : Algorithms, Scripts and Tips
- Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts
- Illustrating Statistical Procedures: Finding Meaning in Quantitative Data
- Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate
- Improved Classification Rates for Localized Algorithms under Margin Conditions
- Income Inequality, Redistribution and Economic Growth : Statistical Measures and Empirical Evidences
- Infinitival vs Gerundial Complementation with Afraid, Accustomed, and Prone : Multivariate Corpus Studies
- Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains
- Interdisciplinary Statistics in Mexico : AME Virtual Meeting, September 10-11, 2020, and 34 FNE, Acatlán, Mexico, September 22-24, 2021
- Introduction to Mathematics for Economics with R
- Introduction to Statistics in Metrology
- Large Sample Techniques for Statistics
- Large-Scale Cognitive Assessment : Analyzing PIAAC Data
- Leadership in Statistics and Data Science : Planning for Inclusive Excellence
- Lean Six Sigma in Banking Services : Operational and Strategy Applications for Theory and Practice
- Lectures on Dependency : Selected Topics in Multivariate Statistics
- Let's Calculate Bach : Applying Information Theory and Statistics to Numbers in Music
- Likelihood and Bayesian Inference : With Applications in Biology and Medicine
- Linear Model Theory : Exercises and Solutions
- Linear Model Theory : With Examples and Exercises
- Linear Models and Design
- Linear and Generalized Linear Mixed Models and Their Applications
- Luminescence : Data Analysis and Modeling Using R
- MCMC from Scratch : A Practical Introduction to Markov Chain Monte Carlo
- Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies
- Machine Learning in Finance : From Theory to Practice
- Macro-econometric Analysis on Determinants of Fertility Behavior
- Macroeconomic Forecasting in the Era of Big Data : Theory and Practice
- Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
- Market Segmentation Analysis : Understanding It, Doing It, and Making It Useful
- Markov Processes and Quantum Theory
- Math for Business and Economics : Compendium of Essential Formulas
- Mathematical Approach to Climate Change and its Impacts : MAC2I
- Mathematical Methods and Models in Economic Planning, Management and Budgeting
- Mathematical Methods and Quantum Mathematics for Economics and Finance
- Mathematical Modeling and Computational Tools : ICACM 2018, Kharagpur, India, November 23–25
- Mathematical Modelling in Health, Social and Applied Sciences
- Mathematical and Statistical Methods for Actuarial Sciences and Finance : MAF 2022
- Mathematical and Statistical Methods for Actuarial Sciences and Finance : eMAF2020
- Mathematics and Statistics for Science
- Matrix-Based Introduction to Multivariate Data Analysis
- Meta-Analysis : Methods for Health and Experimental Studies
- Methodology and Applications of Statistics : A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday
- Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials
- Methods for the Analysis of Asymmetric Proximity Data
- Mindful Topics on Risk Analysis and Design of Experiments : Selected contributions from ICRA8, Vienna 2019
- Minimum Divergence Methods in Statistical Machine Learning : From an Information Geometric Viewpoint
- Mixed-Effects Models and Small Area Estimation
- Modeling Survival Data Using Frailty Models : Second Edition
- Modelli Lineari Generalizzati
- Modelling Trends and Cycles in Economic Time Series
- Modelling and Simulation in Management : Econometric Models Used in the Management of Organizations
- Models for Data Analysis : SIS 2018, Palermo, Italy, June 20-22
- Modern Biostatistical Methods for Evidence-Based Global Health Research
- Modern Classification and Data Analysis : Methodology and Applications to Micro- and Macroeconomic Problems
- Modern Mathematical Statistics with Applications
- Modern Optimization with R
- Modern Quantification Theory : Joint Graphical Display, Biplots, and Alternatives
- Modern Statistical Methods for Health Research
- Modern Survey Analysis : Using Python for Deeper Insights
- Monte Carlo Methods
- Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2018, Rennes, France, July 1–6
- Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2020, Oxford, United Kingdom, August 10-14
- Motivational Profiles in TIMSS Mathematics : Exploring Student Clusters Across Countries and Time
- Multi-Level Bayesian Models for Environment Perception
- Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design
- Multiple Comparisons for Bernoulli Data
- Multivariate Humanities
- Multivariate Reduced-Rank Regression : Theory, Methods and Applications
- Multivariate Statistical Analysis in the Real and Complex Domains
- Multivariate Statistical Methods : Going Beyond the Linear
- Multivariate, Multilinear and Mixed Linear Models
- Network Science : An Aerial View
- Network Theory and Agent-Based Modeling in Economics and Finance
- New Statistical Developments in Data Science : SIS 2017, Florence, Italy, June 28-30
- Non-Asymptotic Analysis of Approximations for Multivariate Statistics
- Non-Gaussian Autoregressive-Type Time Series
- Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
- Nonparametric Statistics : 4th ISNPS, Salerno, Italy, June 2018
- Note Taking Activities in E-Learning Environments
- Novelty, Information and Surprise
- Official Statistics 4.0 : Verified Facts for People in the 21st Century
- Official Statistics-A Plaything of Politics? : On the Interaction of Politics, Official Statistics, and Ethical Principles
- On the Measurement of Social Phenomena : A Methodological Approach
- Optimal Quantification and Symmetry
- Optimization of Pharmaceutical R&D Programs and Portfolios : Design and Investment Strategy
- Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R : A Workbook
- Particle emission concept and probabilistic consideration of the development of infections in systems : Dynamics from logarithm and exponent in the infection process, percolation effects
- Permutation Statistical Methods with R
- Person-Centered Methods : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
- Philosophical and Methodological Debates in Public Health
- Pioneering Works on Distribution Theory : In Honor of Masaaki Sibuya
- Pioneering Works on Extreme Value Theory : In Honor of Masaaki Sibuya
- Plane Answers to Complex Questions : The Theory of Linear Models
- Population Change and Public Policy
- Population Health and the Future of Healthcare
- Portfolio Analytics : An Introduction to Return and Risk Measurement
- Possibility Theory for the Design of Information Fusion Systems
- Primer for Data Analytics and Graduate Study in Statistics
- Probability Theory and Stochastic Processes
- Probability with Statistical Applications
- Probability, Statistics and Simulation : With Application Programs Written in R
- Probabilità : Un primo corso attraverso esempi, modelli e applicazioni
- Probabilità , Statistica e Simulazione : Programmi applicativi scritti in R
- Proceedings of the Forum "Math-for-Industry" 2018 : Big Data Analysis, AI, Fintech, Math in Finances and Economics
- Productivity : Concepts, Measurement, Aggregation, and Decomposition
- Psychometric Framework for Modeling Parental Involvement and Reading Literacy
- Pupil Reactions in Response to Human Mental Activity
- Python for Marketing Research and Analytics
- Python for Probability, Statistics, and Machine Learning
- Quantile Regression for Cross-Sectional and Time Series Data : Applications in Energy Markets Using R
- Quantitative Decisions in Drug Development
- Quantitative Economics with R : A Data Science Approach
- Quantitative Energy Finance : Modeling, Pricing, and Hedging in Energy and Commodity Markets
- Quantitative Epidemiology
- Quantitative Investing : From Theory to Industry
- Quantitative Methods in Demography : Methods and Related Applications in the Covid-19 Era
- Quantitative Methods in Pharmaceutical Research and Development : Concepts and Applications
- Quantitative Portfolio Management : with Applications in Python
- Quantitative Psychology : 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019
- Quantitative Psychology : The 85th Annual Meeting of the Psychometric Society, Virtual
- Quantitative Psychology : The 86th Annual Meeting of the Psychometric Society, Virtual, 2021
- Random Forests with R
- Random Walk, Brownian Motion, and Martingales
- Recent Advances in Estimating Nonlinear Models : With Applications in Economics and Finance
- Recent Advances on Sampling Methods and Educational Statistics : In Honor of S. Lynne Stokes
- Recent Developments in Mathematical, Statistical and Computational Sciences : The V AMMCS International Conference, Waterloo, Canada, August 18-23, 2019
- Recent Developments in Statistics and Data Science : SPE2021, Évora, Portugal, October 13-16
- Recent Developments in Stochastic Methods and Applications : ICSM-5, Moscow, Russia, November 23-27, 2020, Selected Contributions
- Recent Econometric Techniques for Macroeconomic and Financial Data
- Redistricting: A Manual for Analysts, Practitioners, and Citizens
- Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld
- Reflexivity in Social Research
- Regression : Models, Methods and Applications
- Regression Models for the Comparison of Measurement Methods
- Research Methods and Data Analysis for Business Decisions : A Primer Using SPSS
- Research in Computational Topology 2
- Retirement Income Recipes in R : From Ruin Probabilities to Intelligent Drawdowns
- Risk Management for Pension Funds : A Continuous Time Approach with Applications in R
- Risk-Pooling Essentials : Reducing Demand and Lead Time Uncertainty
- Rural Labor Migration, Discrimination, and the New Dual Labor Market in China
- Russian Economic Development over Three Centuries : New Data and Inferences
- Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
- Sampling Spatial Units for Agricultural Surveys
- Sampling Theory and Practice
- Seasonal Adjustment Without Revisions : A Real-Time Approach
- Selected Contributions on Statistics and Data Science in Latin America : 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1−5
- Selected Payout Products of the Old-Age Pension Saving Scheme
- Service Industry Databook : Understanding and Analyzing Sector Specific Data Across 15 Nations
- Ship and Offshore Structure Design in Climate Change Perspective
- Shrinkage Estimation for Mean and Covariance Matrices
- Singular Spectrum Analysis for Time Series
- Six Sigma Green Belt Certification Project : Identification, Implementation and Evaluation
- Social Capital and Subjective Well-Being : Insights from Cross-Cultural Studies
- Socioeconomic Inequality and Educational Outcomes : Evidence from Twenty Years of TIMSS
- Sociology and Statistics in Britain, 1833–1979
- Software Reliability Growth Models
- Solutions Manual for Econometrics
- Solutions Manual for Econometrics
- Sovereignty Blockchain 1.0 : Orderly Internet and Community with a Shared Future for Humanity
- Spatial Econometrics : From Cross-Sectional Data to Spatial Panels
- Spatial Relationships Between Two Georeferenced Variables : With Applications in R
- Spatial Synthesis : Computational Social Science and Humanities
- Statistical Analysis of Empirical Data : Methods for Applied Sciences
- Statistical Analysis of Microbiome Data
- Statistical Analysis of Network Data with R
- Statistical Analysis of Operational Risk Data
- Statistical Data Analysis and Entropy
- Statistical Design and Analysis of Biological Experiments
- Statistical Foundations of Actuarial Learning and its Applications
- Statistical Foundations, Reasoning and Inference : For Science and Data Science
- Statistical Inference and Machine Learning for Big Data
- Statistical Learning and Modeling in Data Analysis : Methods and Applications
- Statistical Learning from a Regression Perspective
- Statistical Learning of Complex Data
- Statistical Methods and Applications in Forestry and Environmental Sciences
- Statistical Methods for Global Health and Epidemiology : Principles, Methods and Applications
- Statistical Methods in Biomarker and Early Clinical Development
- Statistical Modeling for Biological Systems : In Memory of Andrei Yakovlev
- Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field
- Statistical Properties in Firms' Large-scale Data
- Statistical Regression Modeling with R : Longitudinal and Multi-level Modeling
- Statistical Remedies for Medical Researchers
- Statistical Signal Processing : Frequency Estimation
- Statistics Applied With Excel : Data Analysis Is (Not) an Art
- Statistics Based on Dirichlet Processes and Related Topics
- Statistics and Research Methods in Psychology with Excel
- Statistics for Business and Economics : Compendium of Essential Formulas
- Statistics for Data Science and Policy Analysis
- Statistics for Engineers : An Introduction with Examples from Practice
- Statistics for Health Data Science : An Organic Approach
- Statistics in Clinical and Observational Vaccine Studies
- Statistics in the Public Interest : In Memory of Stephen E. Fienberg
- Statistics with Julia : Fundamentals for Data Science, Machine Learning and Artificial Intelligence
- Statistics, New Empiricism and Society in the Era of Big Data
- Stochastic Approximation: A Dynamical Systems Viewpoint : Second Edition
- Stochastic Comparisons with Applications : In Order Statistics and Spacings
- Stochastic Models, Statistics and Their Applications : Dresden, Germany, March 2019
- Stochastic Systems with Time Delay : Probabilistic and Thermodynamic Descriptions of non-Markovian Processes far From Equilibrium
- Survival Analysis : Proportional and Non-Proportional Hazards Regression
- Synthetic Aperture Radar (SAR) Data Applications
- Systems, Patterns and Data Engineering with Geometric Calculi
- Teacher Quality, Instructional Quality and Student Outcomes : Relationships Across Countries, Cohorts and Time
- Telegraph Processes and Option Pricing
- Test Data Engineering : Latent Rank Analysis, Biclustering, and Bayesian Network
- Testing Statistical Hypotheses
- Text Analysis with R : For Students of Literature
- Text Analytics : Advances and Challenges
- The Beginner's Guide to Data Science
- The Career of a Research Statistician : From Consulting to Theoretical Development
- The Demography of Disasters : Impacts for Population and Place
- The Economics of the Super Bowl : Players, Performers, and Cities
- The Elements of Hawkes Processes
- The Future of the Gulf Region : Value Change and Global Cycles
- The Mahalanobis Growth Model : A Macrodynamics Approach
- The Palgrave Handbook of Economic Performance Analysis
- The Significance Test Controversy Revisited : The Fiducial Bayesian Alternative
- The World's Worst Problems
- 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 Agglomerative Hierarchical Clustering
- Time Series Analysis Using SAS Enterprise Guide
- Time Series Analysis for the State-Space Model with R/Stan
- Time Series Models
- Time Series in Economics and Finance
- Triple Double : Using Statistics to Settle NBA Debates
- Understanding Policy Decisions
- Understanding Survey Methodology : Sociological Theory and Applications
- Univariate Stable Distributions : Models for Heavy Tailed Data
- University Performance Before and During Economic Crises : An Analysis of Graduate Characteristics
- Using R for Biostatistics
- Using R for Trade Policy Analysis : R Codes for the UNCTAD and WTO Practical Guide
- Visualizing Linear Models
- Wavelet Applications in Economics and Finance
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