Chapman and Hall/CRC
Statistics in Survey Sampling (Chapman & Hall/CRC Texts Statistical Science)
Gaussian Markov Random Fields: Theory and Applications (Chapman & Hall/CRC Monographs on...
Visualization for Social Data Science (Chapman & Hall/CRC Statistics in the and Behavioral Sciences)
Prescriptions for Quant Traders Using R: Videos & Scripts
Handbook of Graph Theory, Combinatorial Optimization, and Algorithms: 34 (Chapman & Hall/CRC...
Raspberry Pi OS System Administration: Ancillary Topics (Raspberry Administration with systemd)
Algebraic Number Theory and Fermat's Last Theorem
Tiny Android Projects Using Kotlin
Deep and Shallow: Machine Learning in Music Audio (Chapman & Hall/CRC Pattern Recognition)
Advanced Linear Algebra (Textbooks in Mathematics)
Bayesian Statistical Methods: With Applications to Machine Learning (Chapman & Hall/CRC Texts in Science)
Handbook of Markov Chain Monte Carlo (Chapman & Hall/CRC Handbooks Modern Statistical Methods)
Multivariate Statistical Methods: A Primer
Operating System Design: The Xinu Approach
Principles of Computational Genomics (Chapman & Hall/CRC Biology Series)
Handbook of Geometric Constraint Systems Principles (Discrete Mathematics and Its Applications)
Student Solutions Manual for Gallian's Contemporary Abstract Algebra (Textbooks in Mathematics)
Introduction to Computational Biology: Maps, Sequences and Genomes (Chapman & Hall/CRC Interdisciplinary Statistics)
Cloud Security: Concepts, Applications and Practices
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges
CRC Press
C++ for Financial Mathematics (Chapman and Hall/CRC Series)
Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes...
Risk Analysis in Finance and Insurance (Chapman Hall/CRC Financial Mathematics Series)
Stochastic Volatility Modeling (Chapman and Hall/CRC Financial Mathematics Series)
Spatial Statistics for Data Science: Theory and Practice with R (Chapman &...
Linear Algebra and Its Applications with R (Textbooks in Mathematics)
Foundations of Bayesian Statistics for Data Scientists: With R and Python (Chapman...
Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from...
A Practical Guide to Integrating Generative AI into HR Management (Knowledge-based Engineering for Innovation)
Multiple Comparisons: Theory and Methods
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