Probabilidade e Estatística da seção ler

Probably the Best Book on Statistics Ever Written: How to Beat the Odds and Make Better Decisions

por: Haim Shapira

Taking an amusing and digestible look at the usually dry world of probability and statistics, this is

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Foundations of the Theory of Probability

por: A. N. Kolmogorov

2013 Reprint of 1956 Second Edition. Full facsimile of the original edition, not reproduced with Opti

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Analytics in Healthcare: A Practical Introduction

por: Christo El Morr

Chapter 1. Healthcare and Business Intelligence.- Chapter 2. Analytics: The Building Blocks.- Chapter

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ler totalmente Microeconometrics Using Stata, Second Edition, Volumes I and II: Cross-sectional and Panel Regression Methods / Nonlinear Models and Causal Inference Methods: 1-2

Microeconometrics Using Stata, Second Edition, Volumes I and II: Cross-sectional and Panel Regression Methods / Nonlinear Models and Causal Inference Methods: 1-2

por: A Colin Cameron

Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students

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Applied Time Series Analysis and Forecasting with Python

por: Changquan Huang

This textbook presents methods and techniques for time series analysis and forecasting and shows how

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Machine Learning in Finance: From Theory to Practice

por: Matthew F Dixon

This book introduces machine learning methods in finance. It presents a unified treatment of machine

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Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science: 6

por: Bradley Efron

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope

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Computation and Complexity for AI: Algorithms, Lower Bounds, and Resource Trade-offs

por: Guangyu Wang

AI systems are shaped by what their algorithms can compute under finite time, memory, communication,

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The Mathematics of Games of Strategy

por: Melvin Dresher

Melvin Dresher, noted research mathematician for the Rand Corporation, puts forth an exceptionally cl

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Gaussian Markov Random Fields: Theory and Applications

por: Havard Rue

Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active

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Data Analysis for Social Science: A Friendly and Practical Introduction

por: Elena Llaudet

An ideal textbook for complete beginners--teaches from scratch R, statistics, and the fundamentals of

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Introducing Monte Carlo Methods With R

por: Christian Robert

Computational techniques based on simulation have now become an essential part of the statistician's

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Information Theory a Tutorial Introduction: 2

por: James V. Stone

Originally developed by Claude Shannon in the 1940s, the theory of information laid the foundations f

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Understanding Regression Analysis: A Conditional Distribution Approach

por: Peter H. Westfall

Understanding Regression Analysis unifies diverse regression applications including the classical mod

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Statistical Analysis of Circular Data

por: N I Fisher

This book provides a unified and up-to-date account of techniques for handling circular data, and wil

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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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ler totalmente America's Billion-Dollar Lottery Decoded: Mathematics, Record Jackpots, Winner Stories, Tax Realities, Scam Warnings, and the History Behind the Dream of Sudden Wealth

America's Billion-Dollar Lottery Decoded: Mathematics, Record Jackpots, Winner Stories, Tax Realities, Scam Warnings, and the History Behind the Dream of Sudden Wealth

por: Alden R Quenridge

What happens when a small printed ticket becomes connected to more money than most people can imagine

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AI优化论（I）：训练动力学与算法几何 (Traditional Chinese Edition)

por: 王广宇

在这场由大语言模型和生成式 AI 主导的技术狂飙中，我们常常追问：为什么一个极其简单的随机梯度下降（SGD），能在无穷多个误差为零的解中，奇迹般地挑出那个泛化能力最强的解？为什么模型会在训练的某个瞬间突

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Foundations of the Theory of Probability: Second English Edition

por: A N Kolmogorov

This famous little book was first published in German in 1933 and in Russian a few years later, setti

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Customer Relationship Management: Concept, Strategy, and Tools

por: V Kumar

This book presents an extensive discussion of the strategic and tactical aspects of customer relation

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Introduction to the Philosophy of Probability. The Different Interpretations

por: Willian Silva Barros

Probability is indispensable to modern science, yet its meaning remains one of the most contested que

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A Modern Introduction to Probability and Statistics: Understanding Why and How

por: F.M. Dekking

Suitable for self study Use real examples and real data sets that will be familiar to the audience In

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Remote Sensing Data Analysis in R

por: Alka Rani

Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which a

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Probability: An Introduction

por: Professor of Mathematical Statistics Geoffrey Grimmett

Probability is an area of mathematics of tremendous contemporary importance across all aspects of hum

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Prediction, Learning, and Games

por: Nicolò Cesa-Bianchi

This important text and reference for researchers and students in machine learning, game theory, stat

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An Investigation of the Laws of Thought

por: George Boole

Originally published in 1854, Boole's An Investigation of the Laws of Thought provides the first trea

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Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues: 31

por: Pierre Brémaud

This 2nd edition is a thoroughly revised and augmented version of the book with the same title publis

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The Pleasures of Probability

por: Richard Isaac

The purpose of this book is to introduce the basic notions of probability through the discussion of a

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Introduction to Probability, Second Edition

por: Joseph K. Blitzstein

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential

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Google Data Studio for Beginners: Start Making Your Data Actionable

por: Grant Kemp

Google Data Studio is becoming a go-to tool in the analytics community. All business roles across the

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