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Statistics: A Very Short Introduction

por: David J. Hand

Modern statistics is very different from the dry and dusty discipline of the popular imagination. In

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How to Lie with Statistics

por: Darrell Huff

Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of ever

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scikit-learn Cookbook - Third Edition: Over 80 recipes for machine learning in Python with scikit-learn

por: John Sukup

Get hands-on with the most widely used Python library in machine learning with over 80 practical reci

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Closing Line Value Explained: How Serious Bettors Use Market Movement to Evaluate Their Bets (The Data-Driven Bettor Series)

por: Tom Herbert

Winning one bet does not prove it was a good bet. Losing one bet does not prove it was a bad one.Clos

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Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

por: Roy D Yates

This text introduces engineering students to probability theory and stochastic processes. Along with

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Theory of Probability and Random Processes

por: Leonid Koralov

The core of this book is a one-year course in probability theory and the theory of random processes,

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Basic Probability Theory

por: Robert B. Ash

This introduction to more advanced courses in probability and real analysis emphasizes the probabilis

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A Winning Bet in Nevada Baccarat

por: Edward O. Thorp

2015 Reprint of 1963 Edition. Full Facsimile of the original edition. Not reproduced with Optical Rec

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Statistics for Bench Biologists Who Hate Math: A Field Guide, One Bench Scenario at a Time

por: Adrian Keller

Statistics does not have to feel like a second language. Statistics for Bench Biologists Who Hate Mat

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An Introduction to Random Matrices: 118

por: Greg W Anderson

The theory of random matrices plays an important role in many areas of pure mathematics and employs a

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Advances in Statistical Multisource-Multitarget Information Fusion

por: Ronald P. S. Maher

This book addresses the large number of significant advances that have appeared since the publication

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A/B TESTING AND EXPERIMENT DESIGN: Plan Valid Experiments and Make Better Data-Driven Decisions

por: CORIN HALSTEAD

A statistically significant result does not automatically mean you made the right decision.A/B testin

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Environmental Econometrics Using Stata

por: Christopher F Baum

Aspects of environmental change are some of the greatest challenges faced by policymakers today. The

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Forecasting, Structural Time Series Models and the Kalman Filter

por: Andrew C. Harvey

Forecasting, Structural Time Series Models and the Kalman Filter

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Regression and Other Stories

por: Andrew Gelman

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems,

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Markov Chains: Models, Algorithms and Applications: 189

por: Wai-Ki Ching

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatte

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Math on Trial: How Numbers Get Used and Abused in the Courtroom

por: Leila Schneps

In the wrong hands, math can be deadly. Even the simplest numbers can become powerful forces when man

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The Math That Gaming Made, Compendium: Full Color Edition

por: Andrew Cardno

The Math That Gaming Made — Compendium (Full-Color Edition)The entire science of casino analytics, di

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The Foundations of Bayesian Epistemology: A Philosophical Introduction

por: Kenny Easwaran

This book introduces students and researchers to the philosophical issues at play in the growing fiel

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Eco-Stats: Data Analysis in Ecology: From T-Tests to Multivariate Abundances

por: David I Warton

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially

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Principles of AI Governance and Model Risk Management: Master the Techniques for Ethical and Transparent AI Systems

por: James Sayles

Navigate the complex landscape of Artificial Intelligence (AI) governance and model risk management u

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition

por: Trevor Hastie

During the past decade there has been an explosion in computation and information technology. With it

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Discrete Choice Models: Mathematical Methods, Econometrics, and Data Science

por: Alfred Galichon

A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete cho

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Black Swan Monte Carlo Simulations: Extreme Event Modelling Across Finance, Operations, and Strategic Decision Systems

por: Alessio Faccia

Black Swan Monte Carlo Simulations is a technical book on how extreme events reshape risk, capital, o

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Statistical Foundations of Actuarial Learning and Its Applications

por: Mario V Wüthrich

This open access book discusses the statistical modeling of insurance problems, a process which compr

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Statistical Inference

por: George Casella

This book builds theoretical statistics from the first principles of probability theory. Starting fro

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Latent Class Analysis of Survey Error: 556

por: Paul P Biemer

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error s

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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

por: Hala Nelson

Companies are scrambling to integrate AI into their systems and operations. But to build truly succes

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Regression Modeling with Actuarial and Financial Applications

por: Edward W. Frees

Statistical techniques can be used to address new situations. This is important in a rapidly evolving

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Introduction to the Practice of Statistics

por: David S. Moore

Create and evaluate data from real-world contexts as Introduction to the Practice of Statistics gets

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