Probability & Statistics in 2020

Scattering and Diffraction by Wedges 2: The Wiener-Hopf Solution - Advanced Applications by Daniele, Vito G., Lombardi, Guido

Direction Dependence in Statistical Modeling: Methods of Analysis by

Statistical Topics and Stochastic Models for Dependent Data with Applications by

Applied Regression Modeling by Pardoe, Iain

ACCUPLACER Math Prep: ACCUPLACER Math Test Study Guide with Two Practice Tests [Includes Detailed Answer Explanations] by Tpb Publishing

Cybersecurity in Digital Transformation: Scope and Applications by Möller, Dietmar P. F.

Statistical Analysis of Graph Structures in Random Variable Networks by Kalyagin, V. A., Koldanov, A. P., Koldanov, P. A.

Mathematical Modelling in Real Life Problems: Case Studies from Ecmi-Modelling Weeks by

Point Process Calculus in Time and Space: An Introduction with Applications by Brémaud, Pierre

SAS Programming for Elementary Statistics: Getting Started by Goad, Carla L.

Beginning MLOps with Mlflow: Deploy Models in AWS Sagemaker, Google Cloud, and Microsoft Azure by Alla, Sridhar, Adari, Suman Kalyan

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling by Mohbey, Krishna Kumar

Wahrscheinlichkeitsrechnung Und Statistik: Eine Einführung Für Verständnis, Intuition Und Überblick by Meier, Lukas

Robust Integration of Model-Based Fault Estimation and Fault-Tolerant Control by Lan, Jianglin, Patton, Ronald J.

Data Visualisation with R: 111 Examples by Rahlf, Thomas

Fractional Equations and Models: Theory and Applications by Tomovski, Zivorad, Sandev, Trifce

Introduction to Statistics with the Wolfram Language by Klopper, Juan H.

Machine Learning for Time Series Forecasting with Python by Lazzeri, Francesca

Structural Reliability and Time-Dependent Reliability by Wang, Cao

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes by Panesar, Arjun

Statistics and Machine Learning Methods for Ehr Data: From Data Extraction to Data Analytics by

Proceedings of the 2nd International Conference on Communication, Devices and Computing: ICCDC 2019 by

Thinking Probabilistically by Amir, Ariel

Thinking Probabilistically: Stochastic Processes, Disordered Systems, and Their Applications by Amir, Ariel

Interpreting and Visualizing Regression Models Using Stata by Mitchell, Michael N.

The Geometry of Uncertainty: The Geometry of Imprecise Probabilities by Cuzzolin, Fabio

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications by Gawarecki, Leszek, Mandrekar, Vidyadhar S.

Inferential Models: Reasoning with Uncertainty by Martin, Ryan, Liu, Chuanhai

Probability and Statistics Applications for Environmental Science by Shaefer, Stacey J., Theodore, Louis

Analyzing Health Data in R for SAS Users by Seebach, Peter, Wahi, Monika Maya

Bayesian Cost-Effectiveness Analysis of Medical Treatments by Moreno, Elias, Vazquez-Polo, Francisco Jose, Negrín-Hernández, Miguel Angel

Likelihood Methods in Biology and Ecology: A Modern Approach to Statistics by Brimacombe, Michael

Mixture Model-Based Classification by McNicholas, Paul D.

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R by Wu, Jianrong

Multiregional Clinical Trials for Simultaneous Global New Drug Development by

Sufficient Dimension Reduction: Methods and Applications with R by Li, Bing

A Practical Guide to Age-Period-Cohort Analysis: The Identification Problem and Beyond by Fu, Wenjiang

Missing Data Analysis in Practice by Raghunathan, Trivellore

Random Circulant Matrices by Bose, Arup, Saha, Koushik

Data Analysis with Competing Risks and Intermediate States by Geskus, Ronald B.

Statistics for Finance by Nielsen, Jan Nygaard, Lindström, Erik, Madsen, Henrik

Randomization, Masking, and Allocation Concealment by

Design and Analysis of Clinical Trials for Predictive Medicine by

Pareto Distributions by Arnold, Barry C.

Statistical Methods in Drug Combination Studies by

Pathwise Estimation and Inference for Diffusion Market Models by Dokuchaev, Nikolai, Hin, Lin Yee

Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling by Hwang, Heungsun, Takane, Yoshio

Repeated Measures Design with Generalized Linear Mixed Models for Randomized Controlled Trials by Tango, Toshiro

Applied Surrogate Endpoint Evaluation Methods with SAS and R by Bigirumurame, Theophile, Burzykowski, Tomasz, Alonso, Ariel

Emerging Non-Clinical Biostatistics in Biopharmaceutical Development and Manufacturing by Yang, Harry

Pragmatics of Uncertainty by Kadane, Joseph B.

Advances in Stochastic Structural Dynamics: Proceedings of the 5th International Conference on Stochastic Structural Dynamics-Ssd '03, Hangzhou, China by Zhu, W. Q., Cai, G. Q.

Dynamical Biostatistical Models by Commenges, Daniel, Jacqmin-Gadda, Helene

Patterned Random Matrices by Bose, Arup

Environmental and Ecological Statistics with R by Qian, Song S.

Biosimilar Clinical Development: Scientific Considerations and New Methodologies by

Graphics for Statistics and Data Analysis with R by Keen, Kevin J.

Bayesian Psychometric Modeling by Levy, Roy, Mislevy, Robert J.

Handbook of Graphical Models by

Applied Directional Statistics: Modern Methods and Case Studies by

Mathematical Theory of Bayesian Statistics by Watanabe, Sumio

Analyzing Longitudinal Clinical Trial Data: A Practical Guide by Mallinckrodt, Craig, Lipkovich, Ilya

Handbook of Missing Data Methodology by

Design & Analysis of Clinical Trials for Economic Evaluation & Reimbursement: An Applied Approach Using SAS & STATA by Khan, Iftekhar

Exposure-Response Modeling: Methods and Practical Implementation by Wang, Jixian

Large Covariance and Autocovariance Matrices by Bhattacharjee, Monika, Bose, Arup

Handbook of Biomarkers and Precision Medicine by

Modeling and Analysis of Stochastic Systems by Kulkarni, Vidyadhar G.

Discrete Event Simulation for Health Technology Assessment by Karnon, Jonathan, Caro, J. Jaime, Möller, Jörgen

Large Deviations and Idempotent Probability by Puhalskii, Anatolii

Stochastic Modeling of Scientific Data by Guttorp, Peter

Mixture Modelling for Medical and Health Sciences by Xiang, Liming, Yau, Kelvin Kai Wing, Ng, Shu Kay

Advanced Regression Models with SAS and R by Korosteleva, Olga

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition by Christensen, Ronald

Statistical Learning with Sparsity: The Lasso and Generalizations by Tibshirani, Robert, Wainwright, Martin, Hastie, Trevor

Textbook of Clinical Trials in Oncology: A Statistical Perspective by

Handbook of Environmental and Ecological Statistics by

Handbook of Mixture Analysis by

Platform Trial Designs in Drug Development: Umbrella Trials and Basket Trials by

Handbook of Approximate Bayesian Computation by

Derivative Pricing: A Problem-Based Primer by Lo, Ambrose

Counterparty Risk and Funding: A Tale of Two Puzzles by Brigo, Damiano, Crépey, Stéphane, Bielecki, Tomasz R.

Handbook of Educational Measurement and Psychometrics Using R by Desjardins, Christopher D., Bulut, Okan

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology by Pardo, Scott, Pardo, Michael

Nonlinear Lp-Norm Estimation by Gonin, Rene

Analysis of Incidence Rates by Cummings, Peter

The Data Book: Collection and Management of Research Data by Zozus, Meredith

Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis by Patrangenaru, Victor, Ellingson, Leif

Producing High-Quality Figures Using Sas/Graph(r) and Ods Graphics Procedures by Liu, Charlie Chunhua

Clinical Trial Data Analysis Using R and SAS by Peace, Karl E., Zhang, Pinggao, Chen

Using R and Rstudio for Data Management, Statistical Analysis, and Graphics by Horton, Nicholas J., Kleinman, Ken

An Introduction to Computational Risk Management of Equity-Linked Insurance by Feng, Runhuan

ML.Net Revealed: Simple Tools for Applying Machine Learning to Your Applications by Mukherjee, Sudipta

Parallel Computing for Data Science: With Examples in R, C++ and Cuda by Matloff, Norman

Examining an Operational Approach to Teaching Probability, 1 volume by Drivet, Alessio

Examining an Operational Approach to Teaching Probability by Drivet, Alessio

The Inverse Gaussian Distribution: Theory: Methodology, and Applications by Chhikara, Raj

Martingales and Markov Chains: Solved Exercises and Elements of Theory by Baldi, Paolo

Environmental Data Analysis: An Introduction with Examples in R by Dormann, Carsten

Mathematical Finance by Eberlein, Ernst, Kallsen, Jan

R for Conservation and Development Projects: A Primer for Practitioners by Whitmore, Nathan

Nonparametric Statistical Inference by Gibbons, Jean Dickinson, Chakraborti, Subhabrata

R for Conservation and Development Projects: A Primer for Practitioners by Whitmore, Nathan

Bayesian Approaches in Oncology Using R and Openbugs by Bhattacharjee, Atanu

Probability and Statistical Inference by Niewiadomska-Bugaj, Magdalena, Bartoszynski, Robert

Project-Based R Companion to Introductory Statistics by Myers, Chelsea

Probabilistic Graphical Models: Principles and Applications by Sucar, Luis Enrique

X Games in Mathematics: Sports Training That Counts! by

Possibility Theory for the Design of Information Fusion Systems by Solaiman, Basel, Bossé, Éloi

Linear Models with Python by Faraway, Julian J.

Geostatistics for the Mining Industry: Applications to Porphyry Copper Deposits by Emery, Xavier, Séguret, Serge Antoine

Handbook of Multivariate Process Capability Indices by Chatterjee, Moutushi, Chakraborty, Ashis Kumar

Statistical Reasoning for Surgeons by Maltenfort, Mitchell G., Restrepo, Camilo, Chen, Antonia F.

Statistical Mechanics: From Thermodynamics to the Renormalization Group by Luscombe, James H.

Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R by Legler, Julie, Roback, Paul

Computational Genomics with R by Akalin, Altuna

Making Sense of Lean Six Sigma Process Improvement by Setiadi, Robert

Learning Microeconometrics with R by Adams, Christopher P.

A Step-By-Step Guide to Exploratory Factor Analysis with R and Rstudio by Watkins, Marley

Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals by Cady, Field

Project-Based R Companion to Introductory Statistics by Myers, Chelsea