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Free Mathematicsematical Statistics Books
Latent Growth Curve Modeling
The hundred-page machine learning book
Statistical Downscaling for Hydrological and Environmental Applications
Discrete Data Analysis with R Visualization and Modeling Techniques for Categorical and Count Data
Вариационные ряды и их характеристики
Multivariate Time Series Analysis and Applications
Testing Statistical Assumptions in Research
Прикладная математическая статистика. Для инженеров и научных работников
Elementary Statistics: A Step-By-Step Approach
Spatial Ecology and Conservation Modeling Applications with R
Computational Bayesian statistics : an introduction
Data Management 12
Spatial Data Analysis in Ecology and Agriculture Using R
Empirical Processes with Applications to Statistics
Probabilistic Forecasting and Bayesian Data Assimilation
Theory of Ridge Regression Estimation with Applications
Easy Statistics for Food Science with R
Applied Statistics and Probability for Engineers
Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting
Data Science with Julia
Elements of Copula Modeling with R
Foundations of Agnostic Statistics
Efficient and Adaptive Estimation for Semiparametric Models
Introducción al cálculo estocástico aplicado a la modelización económico-financiero-actuarial
Статистические методы в научных медицинских исследованиях
Bayes Rule with R A Tutorial Introduction to Bayesian Analysis
Theory of Statistics
An Introduction to Statistical Learning: With Applications in R
The Design and Analysis of Computer Experiments
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Robust Statistics: Theory and Methods (with R), 2nd edition
An R Companion to Applied Regression
Mastering Exploratory Analysis with Pandas
500 Most Important Data Science Interview Questions and Answers
Ssd for R An R Package For Analyzing Single-Subject Data
Forecasting with the Theta Method
迴歸分析
Logistic迴歸模型 : 方法及應用
Practical R for Mass Communication and Journalism
Structural Equation with lavaan
Statistics
Regression for Categorical Data
Statistica ed elaborazione statistica delle informazioni
An Introduction to Text Mining Research Design Data Collection and Analysis
Computing with Data: An Introduction to the Data Industry
Machine Learning Projects for Mobile Applications
Python Deep Learning Projects
Mining the Social Web Data Mining Facebook Twitter LinkedIn Instagram
Applied Directional Statistics Modern Methods and Case Studies
Machine Learning with AWS
Deep Learning from First Principles In Vectorized Python R and Octave
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Applied Data Science with Python and Jupyter
Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in SPSS and Stata
Data Science with R A Step By Step Guide With Visual Illustrations and Examples
Predictive Statistics Analysis and Inference Beyond Models
Handbook of Statistical Analysis and Data Mining Applications
Deep Learning with R
Quantitative and Statistical Data in Education: From Data Collection to Data Processing
Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
The Measurement of Association: A Permutation Statistical Approach
Generalized Linear Models With Examples in R
Jupyter for Data Science
Jupyter Cookbook
Hands-On Data Science with Anaconda
R Graphics Cookbook Practical Recipes for Visualizing Data
Generalized Linear Models and Extensions
The Radical Statistician
Demand Forecasting for Managers
Optimal Statistical Decisions
Probability and Statictics for Science and Engineering with Examples in R
Estatística : para cursos de engenharia e informática
Applied Data Visualization with R and ggplot2
Mastering Predictive Analytics with scikit-learn and TensorFlow
Beginning Data Science with Python and Jupyter
Understanding Least Squares Estimation and Geomatics Data Analysis
Python Reinforcement Learning Projects
Python Data Science Essentials
Applied Deep Learning with Python
Hands-On Markov Models with Python
Julia 1.0 Programming Dynamic and High-Performance Programming to Build Fast Scientific Applications
Oceanographic Analysis with R
A Parametric Approach to Nonparametric Statistics
Stochastics Introduction To Probability And Statistics
Principles of Statistics
Statistical Analysis of Microbiome Data with R
Linear Models
Nonlinear Time Series Analysis
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions
Data Visualization and Exploration with R A Practical Guide to Using R RStudio and Tidyverse for Data Visualization Exploration and Data Science Applications
Modern Psychometrics with R
Mixed and Phylogenetic Models: A Conceptual Introduction to Correlated Data
Mixed and Phylogenetic Models: A Conceptual Introduction to Correlated Data
Applied Time Series Analysis with R
Quantile Regression Volume 2 Estimation and Simulation
Fundamental Statistical Inference A Computational Approach
Quantum Stochastics
Статистические модели в теории надежности
Промышленные исследования методом больших чисел (применение закона больших чисел к контрою производства и в борьбе с браком)
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