Probability & Statistics in 2022
R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
by
Kabacoff, Robert I.
Applied Probability: From Random Experiments to Random Sequences and Statistics
by
Girardin, Valérie, Limnios, Nikolaos
Statistical Hypothesis Testing in Context
by
Fay, Michael P., Brittain, Erica H.
Hands-On Intermediate Econometrics Using R: Templates for Learning Quantitative Methods and R Software (Second Edition)
by
Vinod, Hrishikesh D.
Hands-On Intermediate Econometrics Using R: Templates for Learning Quantitative Methods and R Software (Second Edition)
by
Vinod, Hrishikesh D.
Understanding Regression Analysis: A Conditional Distribution Approach
by
Westfall, Peter H., Arias, Andrea L.
Advanced Sampling Methods
by
Latpate, Raosaheb, Kshirsagar, Jayant, Kumar Gupta, Vinod
A Comprehensive Textbook on Sample Surveys
by
Pal, Sanghamitra, Chaudhuri, Arijit
Partial Truths: How Fractions Distort Our Thinking
by
Zimring, James C.
How the World Really Works: The Science Behind How We Got Here and Where We're Going
by
Smil, Vaclav
Regression for Health and Social Science: Applied Linear Models with R
by
Zelterman, Daniel
Visual Question Answering: From Theory to Application
by
Wang, Xin, Wu, Qi, Wang, Peng
Higher Education Policy Analysis Using Quantitative Techniques: Data, Methods and Presentation
by
Titus, Marvin
Planung Und Reporting Im Bi-Gestützten Controlling: Grundlagen, Business Intelligence, Mobile Bi, Big-Data-Analytics Und KI
by
Schön, Dietmar
Diis Theory and Methodology in Think Tanks
by
Pan, Jiaofeng
An Introduction to Probability: With Mathematica(r)
by
Kao, Edward P. C.
An Introduction to Probability: With Mathematica(r)
by
Kao, Edward P. C.
Artificial Intelligence in Medical Sciences and Psychology: With Application of Machine Language, Computer Vision, and Nlp Techniques
by
Nokeri, Tshepo Chris
Research Methodology: Techniques and Trends
by
Dubey, Umesh Kumar B., Kothari, D. P.
Statistics: 1001 Practice Problems for Dummies (+ Free Online Practice)
by
The Experts at Dummies
Chemometric Methods in Analytical Spectroscopy Technology
by
Huang, Yue, Yun, Yong-Huan, Chu, Xiaoli
Probability and Random Variables: Theory and Applications
by
Yoon, Seokho, Song, Iickho, Park, So Ryoung
Octave and MATLAB for Engineering Applications
by
Stahel, Andreas
Functional Analytic Techniques for Diffusion Processes
by
Taira, Kazuaki
Innovative Methods for Rare Disease Drug Development
by
Chow, Shein-Chung
R for Political Data Science: A Practical Guide
by
Urdinez, Francisco, Cruz, Andres
Understanding the Analytic Hierarchy Process
by
Kulakowski, Konrad
Mathematical Methods for Physics: 45th anniversary edition
by
Wyld, H. W., Powell, Gary
Regression Models for Categorical and Count Data
by
Martin, Peter
Bayesian Methods in Statistics: From Concepts to Practice
by
Slater, Mel
Reinforcement Learning with Hybrid Quantum Approximation in the Nisq Context
by
Kunczik, Leonhard
The Weibull Bible: Grasping Analysis for Engineers & Scientists
by
Watson, Paul F.
Proceedings of International Conference on Scientific and Natural Computing: Proceedings of Snc 2021
by
Multiple Comparisons for Bernoulli Data
by
Shiraishi, Taka-Aki
Morphological Models of Random Structures
by
Jeulin, Dominique
Rasch Measurement Theory Analysis in R
by
Hua, Cheng, Wind, Stefanie
Rasch Measurement Theory Analysis in R
by
Wind, Stefanie, Hua, Cheng
The Data Path Less Traveled: Step up Creativity using Heuristics in Data Science, Artificial Intelligence, and Beyond
by
Voulgaris, Zacharias
Finer Thermodynamic Formalism - Distance Expanding Maps and Countable State Subshifts of Finite Type, Conformal Gdmss, Lasota-Yorke Maps and Fractal G
by
Munday, Sara, Urbański, Mariusz, Roy, Mario
An Introduction to the Rasch Model with Examples in R
by
Zeigenfuse, Matthew D., Strobl, Carolin, Debelak, Rudolf
An Introduction to the Rasch Model with Examples in R
by
Zeigenfuse, Matthew D., Strobl, Carolin, Debelak, Rudolf
Principles of Biostatistics
by
Pagano, Marcello, Gauvreau, Kimberlee, Mattie, Heather
Spatial Analysis
by
Kent, John T., Mardia, Kanti V.
Even You Can Learn Statistics and Analytics: An Easy to Understand Guide
by
Levine, David, Stephan, David
Control Systems and Reinforcement Learning
by
Meyn, Sean
Fourier Analysis
by
Körner, T. W.
The Fundamentals of Heavy Tails: Properties, Emergence, and Estimation
by
Wierman, Adam, Zwart, Bert, Nair, Jayakrishnan
Analysis of the Gravity Field: Direct and Inverse Problems
by
Sampietro, Daniele, Sansò, Fernando
Markov Renewal and Piecewise Deterministic Processes
by
Cocozza-Thivent, Christiane
Deep Statistical Comparison for Meta-Heuristic Stochastic Optimization Algorithms
by
Eftimov, Tome, Korosec, Peter
Cultural Manifold Analysis on National Character: Methodology of Cross-National and Longitudinal Survey
by
Yoshino, Ryozo
Deep Reinforcement Learning
by
Plaat, Aske
Statistical Learning Using Neural Networks: A Guide for Statisticians and Data Scientists with Python
by
Borges De Oliveira, Fabio, de Braganca Pereira, Basilio, Radhakrishna Rao, Calyampudi
Population Genomics with R
by
Paradis, Emmanuel
Uncertainty Bands: A Guide to Predicting and Regulating Economic Processes
by
Tavadyan, Ashot
Advances in Contemporary Statistics and Econometrics: Festschrift in Honor of Christine Thomas-Agnan
by
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale
by
Important Applications of the Behrens-Fisher Statistic and the False Discovery Rate
by
Desai, Tejas A.
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python
by
McNulty, Keith
An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine
by
Bakstein, David, Capasso, Vincenzo
Handbook of Graphs and Networks in People Analytics: With Examples in R and Python
by
McNulty, Keith
Hybrid Frequentist/Bayesian Power and Bayesian Power in Planning Clinical Trials
by
Grieve, Andrew P.
Fundamentals of Statistical Thinking: Tools and Applications
by
Koshevnik, Yuly
Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and Tensorflow Models Using Python
by
Gridin, Ivan
Fundamentals of Statistical Thinking: Tools and Applications
by
Koshevnik, Yuly
Chances and Risks in Construction Management and Economics: A Systemic Approach to Dealing with Models and Uncertainties
by
Hofstadler, Christian, Kummer, Markus
Medical Statistics for Cancer Studies
by
Cox, Trevor F.
Tree-Based Methods for Statistical Learning in R
by
Greenwell, Brandon M.
An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning
by
Dube, Simant
Selected Topics in Malliavin Calculus: Chaos, Divergence and So Much More
by
Decreusefond, Laurent
Linear Mixed Models: A Practical Guide Using Statistical Software
by
Welch, Kathleen B., West, Brady T., Galecki, Andrzej T.
Data Science Techniques for Cryptocurrency Blockchains
by
LIIV, Innar
Markov Processes and Quantum Theory
by
Nagasawa, Masao
Zeitreihenanalyse in Den Wirtschaftswissenschaften: Einführung Und Grundlagen Für Den Einstieg in Die Aktuelle Forschung
by
Wagner, Martin, Neusser, Klaus
Writing Grant Proposals in Epidemiology, Preventive Medicine, and Biostatistics
by
Chasan-Taber, Lisa
Writing Grant Proposals in Epidemiology, Preventive Medicine, and Biostatistics
by
Chasan-Taber, Lisa
From Big Data to Intelligent Data: An Applied Perspective
by
Harfoush, Fady A.
Synthetic Data for Deep Learning
by
Nikolenko, Sergey I.
Mixture and Hidden Markov Models with R
by
Visser, Ingmar, Speekenbrink, Maarten
Compound Renewal Processes
by
Borovkov, A. A.
Probability, Statistics, and Stochastic Processes for Engineers and Scientists
by
Wickramasinghe, Indika, Appiah, Emmanuel A., Haghighi, Aliakbar Montazer
Outlier Analysis. A Study of Different Techniques
by
Chakraborty, Soubhik, Mishra, Priyabrata
How Data Quality Affects Our Understanding of the Earnings Distribution
by
Daniels, Reza Che
How Data Quality Affects Our Understanding of the Earnings Distribution
by
Daniels, Reza Che
Algorithms for a New World: When Big Data and Mathematical Models Meet
by
Quarteroni, Alfio
Asymptotic Statistical Inference: A Basic Course Using R
by
Kulkarni, Madhuri, Deshmukh, Shailaja
High Dimensional Space to Formulate Marriage and Birth Functions
by
Ike, Shuichirou
Functional Distribution of Anomalous and Nonergodic Diffusion: From Stochastic Processes to Pdes
by
Nie, Daxin, Deng, Weihua, Wang, Xudong
Android Malware Detection Using Machine Learning: Data-Driven Fingerprinting and Threat Intelligence
by
Karbab, Elmouatez Billah, Debbabi, Mourad, Derhab, Abdelouahid
Ranking of Multivariate Populations: A Permutation Approach with Applications
by
Corain, Livio, Arboretti, Rosa, Bonnini, Stefano
Cluster Randomised Trials
by
Hayes, Richard J., Moulton, Lawrence H.
Practical Spreadsheet Risk Modeling for Management
by
Lehman, Dale, Groenendaal, Huybert, Nolder, Greg
Statistics and Analysis of Scientific Data
by
Bonamente, Massimiliano
The New Civilization Upon Data: How Big Data Reshapes Human Civilization, Business and the Personal World
by
Tu, Zipei
Sir - Model Supported by a New Density: Action Document for an Adapted Covid - Management
by
Hellwig, Marcus
Chances: And How To Take Them
by
Zappa, Francis V.
Data Science: A First Introduction
by
Campbell, Trevor, Lee, Melissa, Timbers, Tiffany
Data Science: A First Introduction
by
Campbell, Trevor, Lee, Melissa, Timbers, Tiffany
Ereignisrisiko: Statistische Verfahren Und Konzepte Zur Risikoquantifizierung
by
Huschens, Stefan, Höse, Steffi
The History of the International Biometric Society
by
Billard, Lynne
The History of the International Biometric Society
by
Billard, Lynne
Artificial Intelligence: A Textbook
by
Aggarwal, Charu C.
You Bet Your Life: Your Guide to Deadly Risk
by
Buff, Sheila, Buff, Joe
Computer Vision Projects with Pytorch: Design and Develop Production-Grade Models
by
Shivananda, Adarsha, Sharma, Nitin Ranjan, Kulkarni, Akshay
Handbook of Quantitative Ecology
by
Kitzes, Justin
Modeling Change and Uncertainty: Machine Learning and Other Techniques
by
Burks, Robert E., Fox, William P.
The Nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I: Overcoming the Curse of Dimensionality: Linear Systems
by
Cacuci, Dan Gabriel
Handbook of Quantitative Ecology
by
Kitzes, Justin
Variational Convergence and Stochastic Homogenization of Nonlinear Reaction-Diffusion Problems
by
Michaille, Gérard, Hafsa, Omar Anza, Mandallena, Jean-Philippe
When Do I Take Which Distribution?: A Statistical Basis for Entrepreneurial Applications
by
Ernst, Dietmar, Wehrspohn, Uwe
Hands-On Aiops: Best Practices Guide to Implementing Aiops
by
Sabharwal, Navin, Bhardwaj, Gaurav
Machine Learning on Geographical Data Using Python: Introduction Into Geodata with Applications and Use Cases
by
Korstanje, Joos
Tribology of Elastomers
by
Hakami, Ferial, Pramanik, Alokesh, Basak, Animesh Kumar
Stationary Stochastic Models: An Introduction
by
Gatto, Riccardo
Modern Quantification Theory: Joint Graphical Display, Biplots, and Alternatives
by
Lombardo, Rosaria, Nishisato, Shizuhiko, Beh, Eric J.
Personalized Privacy Protection in Big Data
by
Cui, Lei, Qu, Youyang, Nosouhi, Mohammad Reza
Regression Analysis in R: A Comprehensive View for the Social Sciences
by
Bolin, Jocelyn E.
Regression Analysis in R: A Comprehensive View for the Social Sciences
by
Bolin, Jocelyn E.
Convolution-Like Structures, Differential Operators and Diffusion Processes
by
Yakubovich, Semyon, Guerra, Manuel, Sousa, Rúben
Exploratory Data Analysis with MATLAB
by
Martinez, Angel R., Solka, Jeffrey, Martinez, Wendy L.
Systematic Mixed-Methods Research for Social Scientists
by
Olsen, Wendy
An Introduction to Statistical Learning: With Applications in R
by
Hastie, Trevor, James, Gareth, Witten, Daniela
The Quasispecies Equation and Classical Population Models
by
Cerf, Raphaël, Dalmau, Joseba
Time Series for Data Science: Analysis and Forecasting
by
Sadler, Bivin Philip, Woodward, Wayne A., Robertson, Stephen
Analyzing Spatial Models of Choice and Judgment
by
Carroll, Royce, Armstrong, David A., Bakker, Ryan
Introduction to Time Series Modeling with Applications in R
by
Kitagawa, Genshiro
Interface between Regulation and Statistics in Drug Development
by
Gaffney, Michael, Alemayehu, Demissie, Emir, Birol
Mathematical Models for Decision Making with Multiple Perspectives: An Introduction
by
Martins, Nelson Chibeles, Gomes, Maria Isabel
Experimental Gravitation
by
Bassan, Massimo, Ricci, Fulvio
Control and System Theory of Discrete-Time Stochastic Systems
by
Van Schuppen, Jan H.
Parameter Estimation in Stochastic Volatility Models
by
Bishwal, Jaya P. N.
Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons
by
Knaup, Julian
Pro Database Migration to Azure: Data Modernization for the Enterprise
by
Dorsey, Dustin, Kline, Kevin, McDowell, Denis
Introduction to Linear Regression Analysis, 6e Solutions Manual
by
Peck, Elizabeth A., Vining, G. Geoffrey, Montgomery, Douglas C.
Dynamic Time Series Models Using R-Inla: An Applied Perspective
by
Ravishanker, Nalini, Raman, Balaji, Soyer, Refik
Bootstrap Methods: With Applications in R
by
Scheer, Marsel, Dikta, Gerhard
Frontiers in Magnetic Materials: From Principles to Material Design and Practical Applications
by
Wu, Chen, Jin, Jiaying
