Statistical Tableau｜活用統計模型與科學決策力 (1版)

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【簡介】 掌握Tableau，以資料分析驅動決策，發掘真正的商業洞見！ 在資料主導決策的時代，面對AI與自動化分析，光有資料、只會做圖表還不夠； 更重要的是，如何判斷資料是否可靠，並將分析轉化為真正有價值的洞見。 本書以Tableau為核心，帶你活用統計模型，驗證分析的可信度，讓資料不只「看起來合理」，而且有依據、有說服力、可以信任。 從統計顯著性、信賴區間到視覺化實務，協助你用科學方法解讀資料，做出更精準的決策。 無論是資料分析師、商業決策者，或希望提升資料判斷力的職場工作者，這本書都能幫助你將分析結果轉化為行動與影響力。 ------------------------------------------------ 「本書涵蓋了你開始在Tableau中運用統計所需的一切。Ethan清楚地帶領讀者了解背後的原理與實作的方法，非常精彩！」—Lorna Brown Data School教練，The Information Lab UK 「這本書結合了Tableau的統計分析功能與資料視覺化的強大表現，為讀者提供一套深入探索資料的有力工具。」 —Christopher Gardner 商業智慧分析主任，密西根大學 在這個以資料驅動的時代，理解統計模型已成為進行有效分析與決策的關鍵。無論是剛入門的新手，還是經驗豐富的使用者，本書都能為您提供必要基礎知識，使您能夠掌握並靈活運用Tableau中使用各種統計模型，在運用模型時更具信心，讓您的分析成果與洞見更容易在組織內獲得認同與採納。 隨著人工智慧不斷促使各行各業產生變革，善用統計模型的能力早已從加分條件，轉變為不可或缺的基本技能。掌握這項能力，將幫助您充分釋放資料的潛能，並透過解讀與應用模型產出的洞見，使您始終保持領先地位。 無論您是資料分析愛好者、資料分析師，還是商業專業人士，本書都將帶來實用技巧與專業信心，協助您在快速變動的資料分析領域中游刃有餘、應對自如。 在本書中，您將會學習到： •在Tableau中建立基礎的統計模型 •驗證分析結果的統計顯著性 •計算並解讀信賴區間 •將統計融入資料視覺化的最佳技巧 •使用R和Python，整合Tableau與外部的分析工具 #Tableau #資料分析 #統計模型 #資料視覺化 #決策分析

Statistical Mechanics for Beginners: A Textbook for Undergraduates (Second Edition) (2版)

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【簡介】 This second edition of the popular textbook is intended for all undergraduate students in physics, with some background in thermodynamics. The basic intention of the author is maintained: to present a book for those studying statistical mechanics for the first time. The unique presentation starts off with the principles, elucidating the well-developed theory, and only thereafter the application of theory. Calculations on the main steps are detailed, leaving behind minimal gaps. The author emphasizes with theory the link between the macroscopic world (thermodynamics) and the microscopic world.The book begins with a study of three situations -- the closed system and the systems in thermal contact with a reservoir -- in order to formulate the important fundamentals: entropy from Boltzmann formula, partition function and grand partition function. Through the presentation of quantum statistics, Bose statistics and Fermi-Dirac statistics are established, including as a special case the classical situation of Maxwell-Boltzmann statistics. A series of examples follow: the harmonic oscillator, the polymer chain, the two-level system, bosons (photons, phonons, and the Bose-Einstein condensation) and fermions (electrons in metals and in semiconductors). The treatment of bosons and fermions is expanded with a detailed comparison of their thermal behaviors. A study on neutron stars, a pure fermion system, is now included. The concepts of distribution and fluctuations are also briefly discussed, and an important neglected problem is explained: the equivalence between the sum of a series and the value of the associated integral, teaching further insights on Bose-Einstein condensation. A compact historical note on influential scientists forms the concluding chapter.This book will serve as a vital resource for undergraduates taking their first foray into statistical mechanics, setting a strong foundation for more advanced topics in their studies.

Advanced and Multivariate Statistical Methods: Practical Application and Interpretation (8版)

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【簡介】 Advanced and Multivariate Statistical Methods, Eighth Edition offers conceptual and practical insights into multivariate statistical techniques, designed for students without requiring deep technical or mathematical expertise.