Probability & Statistics

910 result(s)

Suggestions for Probability & Statistics

Quantile Regression

Explore advanced statistical techniques with this comprehensive guide on quantile regression, detailing theory, implementation, and practical applications across economics, finance, and data science for researchers and analysts.

Time Series Analysis by State Space Methods

(9780199641178 / 9780199641178)

Scale: The Universal Laws of Growth, Innovation, Sustainability, and the Pace of Life in Organisms, Cities, Economies, and Companies

(9781594205583 / 9781594205583) - West, Geoffrey - Hardcover - The Penguin Press - Penguin Publishing Group - Height: 242mm - Spine width: 40mm - Width: 160mm - ISBN: 9781594205583 - Number of pages: 496

Multiple Comparisons Using R (Hardback)

Master the art of multiple testing in R with this comprehensive guide, featuring step‑by‑step tutorials on Tukey, Holm–Bonferroni, and permutation methods, complete with real data examples and reproducible code snippets.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

(9781491910399 / 42529557) - Mathematical & statistical software - First edition - O'Reilly - Sebastopol, United States - Dimensions: 227 x 160 x 27 mm - Format: 522 pages - Height: 231 mm - Spine width: 24 mm | R for Data Science

R Semiparametric Regression: A Comprehensive Guide

Clinical Research Sample Size Calculation Guide

Excel 2016 Business Statistics Guide: Practical Problem Solving Manual

Monty Hall Problem: The Controversial Math Puzzle Explained

MATLAB Environmental Data Analysis Toolkit

Statistics for Lawyers: Comprehensive Guide to Legal Data Analysis

SAS Statistics by Example: Comprehensive Data Analysis Guide

Monte Carlo Simulation Fundamentals by Nick T. Thomopoulos

Business Process Modeling, Simulation, and Design Handbook

Diagnostic Performance Statistical Analysis Guide

Censored Environmental Data Analysis with Minitab and R

Future-Ready Modern Survey Interview Guide

DNA Microarray Investigation Design and Analysis Guide

Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

A comprehensive guide that demystifies linear, logistic, survival and repeated measures models for biostatistics, blending theory with practical examples to empower researchers in biology and health.

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Cambridge University Press (9781108422093)

Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation

Pelagic Publishing Ltd (9781784271398)

Envisioning Information

Graphics Press USA (9780961392116)

Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git

Addison-Wesley Professional (9780135133101)

Statistical Process Control Demystified

McGraw-Hill Education (9780071742498)

Fundamentals of Biostatistics

Brooks Cole (9781305268920)

Elementary Statistics

Pearson (9780134462455)

R for Business Analytics

Springer (9781461443421) | R for Business Analytics

Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition

Routledge (9781138797031) | Third edition, Basic concepts, Text is ideal, Text provides a practical, Analyses Applications, SEM Applications, SEM models, Model application, SEM model, Structural model

Probability and Statistics for Data Science: Math + R + Data

Chapman and Hall/CRC (9781138393295) | Probability and statistics, Statistics professor, Journal of Statistical, R Journal, Book Statistical

Data Visualization: A Practical Introduction

Princeton University Press (9780691181615)

Strange Curves, Counting Rabbits, & Other Mathematical Explorations

Princeton University Press (9780691127972) | Strange Curves

Yet Another Introduction to Analysis

Cambridge University Press (9780521388351) | Yet Another Introduction

Introduction to Data Science: Data Analysis and Prediction Algorithms with R

Chapman and Hall/CRC (9780367357986) | Concepts and skills, Introduction to Data Science, Analysis and Prediction Algorithms, Book is a textbook, Statistics with R, Statistics textbook