공지 |
이용방법
|
105 |
 |
Data Analysis for the Life Sciences with R
|
|
104 |
 |
Advanced Statistical Methods in Data Science
|
|
103 |
 |
Biomat 2015 - International Symposium On Mathematical And Computational Biology
|
|
102 |
 |
Matrix Analysis for Statistics, Third edition
|
|
101 |
 |
Introductory Biostatistics, Second edition
|
|
100 |
 |
An Introduction to the Representation Theory of Groups
|
|
99 |
 |
Biostatistics in Public Health Using STATA
|
|
98 |
 |
Convex Analysis and Global Optimization
|
|
97 |
 |
Advances in Mathematical Modeling, Optimization and Optimal Control
|
|
96 |
 |
Big Data Analysis for Bioinformatics and Biomedical Discoveries
|
|
95 |
 |
The Grassmannian Variety : Geometric and Representation-Theoretic Aspects
|
|
94 |
 |
Fractional Calculus View of Complexity : Tomorrow’s Science
|
|
93 |
 |
Probability and Random Processes
|
|
92 |
 |
Introduction to Combinatorics, 2nd ed.
|
|
91 |
 |
An Easy Path to Convex Analysis and Applications
|
|
90 |
 |
Mathematical Formulas for Industrial and Mechanical Engineering
|
|
89 |
 |
An Introduction to Statistical Computing
|
|
88 |
 |
The Elements of Cantor Sets : with applications
|
|
87 |
 |
Introduction to Stochastic Models
|
|
86 |
 |
Introduction to Stochastic Analysis : integrals and differential equations
|
|