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Probabilidade e Estatística da seção ler

A First Course in Causal Inference

por: Peng Ding

The past decade has witnessed an explosion of interest in research and education in causal inference,
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Statistical Methods for the Social Sciences, Global Edition

por: Alan Agresti

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social s
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Successful Professional Gamblers

por: Lance D Williams

In this book, a variety of people share stories about their gambling experiences. The trials and erro
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Nonparametric Inference on Manifolds: With Applications to Shape Spaces: 2

por: Assistant Professor Abhishek Bhattacharya

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds
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Theory of Games and Economic Behavior

por: John Von Neumann

John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and
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Analytics: Business Intelligence, Algorithms and Statistical Analysis

por: Todd J. Blatt

In today's world, analysis has become an extremely important aspect to consider when you are thinking
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AI的内蕴几何 (I):参数与分布空间的几何 (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:智能的本质是什么?机器是否真的在“理解”?通常的答案是算力、数据和规模。这个答案没有错,但不完整。在算力故事的背后,隐藏着另一条同样深刻、却
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Fourier Series

por: Georgi P. Tolstov

Richard A. Silverman's series of translations of outstanding Russian textbooks and monographs is well
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Adventures in Stochastic Processes

por: Sidney I. Resnick

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exh
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

por: Trevor Hastie

During the past decade there has been an explosion in computation and information technology. With it
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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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The Visual Display of Quantitative Information, 2nd Ed.

por: Edward R. Tufte

The classic book on statistical graphics, charts, tables. Theory and practice in the design of data g
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Probability and Statistics

por: Morris H. DeGroot

The revision of this well-respected text presents a balance of the classical and Bayesian methods. Th
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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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Probability and Statistics for Machine Learning: A Textbook

por: Charu C Aggarwal

This book covers probability and statistics from the machine learning perspective. The chapters of th
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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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General Principles of Quantum Field Theory: 10

por: N. N. Bogolubov

The majority of the "memorable" results of relativistic quantum theory were obtained within the frame
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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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Real Analysis

por: N. L. Carothers

This course in real analysis is directed at advanced undergraduates and beginning graduate students i
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Fifty Challenging Problems in Probability with Solutions

por: Frederick Mosteller

Can you solve the problem of "The Unfair Subway"?Marvin gets off work at random times between 3 and 5
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Factfulness: Ten Reasons We're Wrong about the World--And Why Things Are Better Than You Think

por: Hans Rosling

INSTANT NEW YORK TIMES BESTSELLER "One of the most important books I've ever read--an indispensable g
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Introduction to Probability Models

por: Sheldon M Ross

*Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024* A trusted mar
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

por: Guido W. Imbens

Most questions in social and biomedical sciences are causal in nature: what would happen to individua
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Computer Vision: Algorithms and Applications

por: Richard Szeliski

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and i
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