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Математика

Различные книги в жанре Математика, доступные для чтения и скачивания в различных форматах.

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Continuum Mechanics. The Birthplace of Mathematical Models - Myron Allen B.
The Fitness of Information. Quantitative Assessments of Critical Evidence - Chaomei Chen
Kernel Smoothing. Principles, Methods and Applications - Sucharita Ghosh
Fourier Transforms. Principles and Applications - Eric Hansen W.
Understanding Uncertainty - Dennis Lindley V.
Applied Bayesian Modelling - Peter Congdon
Applied Linear Regression - Sanford Weisberg
Evolutionary Optimization Algorithms - Dan Simon
Time Series Analysis - Wilfredo Palma
Simulation Modeling and Arena - Manuel Rossetti D.
Beginning Partial Differential Equations - Peter O'Neil V.
Fundamentals of Actuarial Mathematics - S. Promislow David
Probability and Stochastic Processes - Ionut Florescu
The Intelligent Enterprise in the Era of Big Data - Venkat Srinivasan
Matrix Algebra for Linear Models - Marvin H. J. Gruber
Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas - Rense Corten
Introduction to Stochastic Processes with R - Robert Dobrow P.
Basic Data Analysis for Time Series with R - DeWayne Derryberry R.
A First Course in Mathematical Logic and Set Theory - Michael O'Leary L.
Multivariate Nonparametric Regression and Visualization. With R and Applications to Finance - Jussi Klemelä Sakari
Advances in DEA Theory and Applications. With Extensions to Forecasting Models - Kaoru Tone
An Introduction to SAGE Programming. With Applications to SAGE Interacts for Numerical Methods - Razvan Mezei A.
Spline Collocation Methods for Partial Differential Equations. With Applications in R - William Schiesser E.
Mathematical and Computational Modeling. With Applications in Natural and Social Sciences, Engineering, and the Arts - Roderick Melnik
Banking Systems Simulation. Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion - Stefano Zedda
Mixed Models. Theory and Applications with R - Eugene Demidenko
The Data Industry. The Business and Economics of Information and Big Data - Chunlei Tang
Nonlinear Parameter Optimization Using R Tools - John Nash C.
Beyond Basic Statistics. Tips, Tricks, and Techniques Every Data Analyst Should Know - Kristin Jarman H.
Introduction to Probability and Statistics for Ecosystem Managers. Simulation and Resampling - Timothy Haas C.

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