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├── 概率论与数理统计 │ ├── 陈希孺 │ │ ├── 高等数理统计学 by 陈希孺 (z-lib.org).pdf │ │ ├── 概率论与数理统计 by 陈希孺 (z-lib.org).pdf │ │ ├── 机会的数学 by 陈希孺 (z-lib.org).pdf │ │ ├── 数理统计学教程 by 陈希孺 (z-lib.org).pdf │ │ ├── 数理统计学简史 by 陈希孺 (z-lib.org).pdf │ │ └── 统计学漫话 by 陈希孺 苏淳编著 (z-lib.org).pdf │ ├── 浙大 │ │ ├── 概率论与数理统计习题全解指南(浙大第4版) by 浙江大学 盛骤 谢式千 潘承毅 (z-lib.org).pdf │ │ ├── 概率论与数理统计习题全解指南（来源网络）.pdf │ │ ├── 概率论与数理统计（第五版） by 盛骤 , 谢式千 , 潘承毅 (z-lib.org).pdf │ │ └── 《概率论与数理统计》浙大版（第四版）教材.pdf │ ├── A Course in Probability Theory, Third Edition by Kai Lai Chung (z-lib.org).pdf │ ├── 概率论数理统计与随机过程 by 张帼奋 [张帼奋] (z-lib.org).pdf │ ├── 概率论与数理统计 by 龙永红 编 (z-lib.org).pdf │ ├── 概率论与数理统计 by 同济大学数学系 (z-lib.org).pdf │ ├── 概率论与数理统计 by 王勇 (z-lib.org).pdf │ ├── 概率论与数理统计 by 严士健 (z-lib.org).pdf │ ├── 概率论与数理统计教程 (第2版) 习题与解答 by 茆诗松 程依明 濮晓龙 (z-lib.org).pdf │ ├── 概率论与数理统计内容、方法与技巧 by 孙清华 (z-lib.org).pdf │ └── Probability for Physicists-Simon Sirca.pdf ├── A First Course in Bayesian Statistical Methods (Peter D. Hoff) (Z-Library).pdf ├── A First Course in Multivariate Statistics.pdf ├── A First Course in Probability Models and Statistical Inference.pdf ├── A Modern Approach to Regression with R (Simon Sheather (auth.)) (Z-Library).pdf ├── A Modern Introduction to Probability and Statistics Understanding Why and How (Springer Texts in Statistics) (F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä etc.) (Z-Library).pdf ├── Advanced linear modeling statistical learning and dependent data.pdf ├── All of Nonparametric Statistics (Larry Wasserman) (Z-Library).pdf ├── All of Statistics A Concise Course in Statistical Inference.pdf ├── An Intermediate Course in Probability.pdf ├── An Introduction to Bayesian Analysis (Jayanta K. Ghosh, Mohan Delampady etc.) (Z-Library).pdf ├── An Introduction to Statistical Learning with Applications in Python.pdf ├── An Introduction To Statistical Learning With Applications In R (Second Edition).pdf ├── An R and S-PlusВ® Companion To Multivariate Analysis (Brian Everitt) (Z-Library).pdf ├── Analysis of Variance in Experimental Design.pdf ├── Analyzing Categorical Data.pdf ├── Applied Bayesian Statistics With R and OpenBUGS Examples.pdf ├── Applied Mathematical Demography, Third Edition (Statistics for Biology and Health).pdf ├── Applied Multivariate Analysis.pdf ├── Applied Multivariate Data Analysis Volume II Categorical and Multivariate Methods.pdf ├── Applied Probability.pdf ├── Applied Regression Analysis A Research Tool.pdf ├── Applying Generalized Linear Models.pdf ├── Asymptotic Theory of Statistics and Probability.pdf ├── Basic Principles of Structural Equation Modeling An Introduction to LISREL and EQS.pdf ├── Basics of Modern Mathematical Statistics-1.pdf ├── Basics of Modern Mathematical Statistics.pdf ├── Bayes Factors for Forensic Decision Analyses with R.pdf ├── Bayesian core a practical approach to computational Bayesian statistics (Jean-Michel Marin, Christian Robert) (Z-Library).djvu ├── Bayesian Essentials with R.pdf ├── Bayesian Inference of State Space Models Kalman Filtering and Beyond.pdf ├── CRC standard probability and statistics tables and formulae.pdf ├── Design and Analysis of Experiments-1.pdf ├── Design and Analysis of Experiments.pdf ├── Essential Statistical Inference Theory and Methods.pdf ├── Essentials of Stochastic Processes (Richard Durrett) (Z-Library).pdf ├── Essentials of Stochastic Processes-1.pdf ├── Essentials of Stochastic Processes.pdf ├── Fundamentals of High-Dimensional Statistics. With Exercises and R Labs.pdf ├── Fundamentals of Mathematical Statistics Probability for Statistics (Hung T. Nguyen, Gerald S. Rogers (auth.)) (Z-Library).pdf ├── Fundamentals of Mathematical Statistics Probability for Statistics.pdf ├── Fundamentals of Probability A First Course.pdf ├── Generalized Linear Models With Examples in R.pdf ├── Graphical Exploratory Data Analysis.pdf ├── Introduction to Graphical Modelling-1.pdf ├── Introduction to Graphical Modelling.pdf ├── Introduction to Reliability Analysis Probability Models and Statistical Methods.pdf ├── Introduction to Time Series and Forecasting.pdf ├── Intuitive Introductory Statistics.pdf └── Large Sample Techniques for Statistics-1.pdf