STS(概率论-数理统计)

📂 主文件夹：STS(概率论-数理统计)

• 📁 包含文件：概率论与数理统计
• 📕 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. Lopuha? 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