Multivariate Reduced-Rank Regression

Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected together in this comprehensive reference. Because these distributions are becoming more prominent in many applications, this book is a must for any serious researcher or consultant working in multivariate analysis and statistical distributions. Much of this material has never before appeared in book form. The first part of the book emphasizes theoretical results of a probabilistic nature. In the second part of the book, these are supplemented by a variety of statistical aspects. Various generalizations and applications are dealt with in the final chapters. The material on estimation and regression models is of special value for practitioners in statistics and economics. A comprehensive bibliography of over 350 references is included.

提升網站 SEO 品質的必備攻略 從 SEO 基礎到網站經營一次到位！ 本書以實戰為導向，從 SEO 策略、內容佈局到使用者體驗，帶你建立一個能自我成長、持續創造價値的網站。 SEO（搜尋引擎最佳化）就像為網站指路，讓潛在訪客更容易找到你。它是一套策略與技術的結合，旨在提升網站在搜尋引擎結果頁面（SERP）中的排名，從而大幅提高曝光與流量。尤其針對 Google、Bing 等主流搜尋引擎，良好的 SEO 不僅帶來能見度，更帶來信任感。本書詳細解說搜尋引擎運作原理、關鍵字研究、網站結構規劃，到內容行銷與外部連結策略，帶你掌握網站成長的核心原則與實際操作流程。無論你是初學者、內容創作者，或剛起步的網站經營者，都能透過本書建立屬於自己的 SEO 經營思維，打造長期穩定的自然流量與內容價值。 精彩內容 ● 了解 SEO 基礎與搜尋引擎運作原理 從關鍵字研究、內容架構、網頁索引，到搜尋意圖的分析，逐步掌握搜尋引擎判斷內容價值的依據，同時建立持續帶來自然流量的基礎觀念。 ● SEO 技術與內容策略整合 結合網站架構、標籤設計、內部連結與行動端設定，建立完整的技術基礎。 ● 運用數據分析監控與調整網站策略 結合 Google Search Console、Google Analytics、MonsterInsights 等工具，掌握網站流量、使用者行為與關鍵字表現，建立以數據驅動的 SEO 決策模式。 ● 活用核心外掛與自動化 SEO 工具 學習設定 Yoast SEO、Rank Math 等主流外掛，實作網站地圖、結構化資料與社群整合，提升搜尋成效與內容觸及。 ● 進階維運與網站安全管理實務 從快取設定、圖片壓縮、防火牆設定到安全監控，全面強化網站的效能與穩定性，確保長期維運下的SEO 表現持續提升。 掌握 SEO 核心要點 ☑ 認識搜尋引擎的運作原理與排名機制。 ☑ 學會使用 Google Search Console 與 Google Analytics 進行數據分析。 ☑ 掌握站內、站外 SEO 技術與內容優化方法。 ☑ 理解流量結構與使用者行為，打造高價值內容。 目標讀者 ● 初學者 想了解 SEO 與網站經營的整體架構，建立完整入門基礎。 ● 內容創作者與團隊 掌握關鍵字策略、內容優化與網站分析工具，加速累積自然流量。 ● 企業經營者 建立品牌長期曝光策略，提升網站權

【內容特點】★大語言模型推薦系統技術架構★Transformer與注意力機制應用★嵌入生成與人物誌建模模組★大規模向量檢索與Faiss整合★生成式推薦與RLHF最佳化★預訓練模型應用於冷啟動推薦★微調技術與LoRA參數調整★Prompt工程與上下文學習技術★多模態嵌入與CLIP特徵整合★多工學習架構與互動式推薦系統★排序演算法與Learning-to-Rank應用★高併發推薦服務與快取策略設計★分散式推理與ONNX模型部署★電子商務平台推薦系統專案實作【內容簡介】本書針對大語言模型於推薦系統中的應用進行完整拆解，涵蓋從基礎架構設計、嵌入建構、排序演算法到冷啟動處理與互動式推薦等核心模組。內容不僅包括主流技術如Transformer、Faiss、T5與GPT模型，亦涵蓋LoRA、RLHF與Few-shot推薦等進階主題。技術實作部分詳細說明了如何處理人物誌建構、多模態資料整合、向量檢索與模型微調，同時結合分散式推理與高併發部署方式，提供了可落地的工程指引。實務案例涵蓋LangChain對話推薦、電子商務場景應用與推薦效能監控設計，並搭配程式碼範例與框架工具，讓開發者能從需求分析一路實作至部署。此書適合資料工程師、推薦系統開發者與希望導入LLM能力的AI實作者閱讀，能作為系統化構建智慧推薦系統的技術參考資料。

───── 沒有完美的童年，一樣能擁抱美好的人生 ───── 傷口的背後一定都有一個等待被理解的原因 內在小孩 6 種需求 X 6 種情緒釋放 X 5 種自我價值重建 X3 種整合 這是屬於曾經受過傷的你我，應該好好面對自己的成長課， 讓傷口成為座標，為自己啟程，活出強大、自信、內在安穩的自己。 ◆ 〔 其實沒有不開心，但也沒有快樂的理由 〕 每個人內心深處，都住著一個長不大的小孩。不管在童年，還是成年後，當內在小孩得不到關心、愛護與療癒時，內在小孩就成了一個有創傷的小孩；他會讓你的情緒容易失控；或在與人交際互動時常受挫，跟世界格格不入；在工作中不受重視，時常被欺負；在感情中作態，沒有建立親密關係的能力；更在人生重要抉擇時刻，做出了「我不好」、「我不配」的決定。 〔 用現在的自己安慰過去的自己，最有力量 〕 小時候的我們，總期待著長大，期望成為自己喜歡的大人，但現在的我們，覺得開心嗎？還是偶爾覺得難過，覺得很受傷；又或者在夜深人靜時，覺得孤單，被世界遺棄了呢？試著回頭跟童年的自己，那個躲在角落的內在小孩說：「你很棒，因為你才有現在的我！」 〔 不要帶著創傷過日子！檢視傷口，學會包紮，等待癒合 〕 心理學家榮格說：「內在小孩是一切光上的光，是治癒的引領者。」療癒內在小孩是一趟向內療癒的旅程，作者心理醫師施琪嘉，在精神分析學的基礎上，提出了許多嶄新的觀點，釐清「內在小孩」的概念外，開啟更多生命的理解，從嬰兒的出生，孩童的教養，以及成年後的社會適應，每個人都可以開始找尋自己的內在小孩，展開自我對話，重新理解與定義自己的人生。 ◆ 〔在心理醫師引導下，認識、理解、療癒我們的內在小孩〕 ▋ 看見內在小孩的樣貌 ── 〔出生的創傷 〕 生存恐懼的恐懼大於出生的喜悅 奧托?蘭克（ Otto Rank ）提出「出生創傷」的概念：孩子從胎兒到嬰兒出生，這過程是非常痛苦的，作者延伸解釋：每個嬰兒最初的感受未必是安全、幸福而充滿期待的，而是充滿驚恐的孩子，直至適應了世界，對於周遭環境產生信任，才會穩定，成為讓人喜歡的嬰兒。 〔 不害怕寵愛孩子 〕 建立充滿愛與安全感的上帝體驗 正因為嬰兒出生充滿驚恐與害怕，作者反對挫折教育，要給孩子滿滿的愛，不要怕溺愛，滿足孩子「上帝」般的體驗，不要因為失衡的母親環境，造成內在小孩的創傷。 ▋

★★★用手機掃描書中 QR Code 立即觀看演算法動畫！★★★⦿ 一圖一步驟，帶你打開演算法的黑箱！⦿ 全彩超圖解，將抽象的演算法視覺化！⦿ 內容淺顯易懂，沒有長篇難懂的理論！「演算法」給人的第一印象就是好難學、理論好多，即使讀完千字文還是看不懂！o(〒﹏〒)o 沒錯！小編非常有同感，第一次接觸演算法時，就被「時間複雜度」弄得暈頭轉向，我一點也不想知道這些數學式是怎麼推導的啊，只要知道哪個演算法比較快、比較好用就可以了！還有，常遇到同一個詞有不同說法，在 Google 搜尋時就會搞不清楚是不是指同一件事，例如 Binary Tree Traversal，就有「二元樹追蹤、二元樹訪問、二元樹走訪、二元樹遍歷……」，這麼多種稱呼，實在讓人困惑！所以本書的專有名詞除了標示中文外，也會加上英文，以便讀者查詢更多資訊。透過本書一圖一步驟地拆解演算法背後的原理，我終於弄懂演算法的運作了，其實演算法沒有想像中那樣神秘、可怕，而是有規則可循的。看懂其運作原理後，由衷佩服這些設計演算法的人，原來他們是這樣思考與拆解問題的啊，我怎麼都沒想到呢！本書收錄許多知名的演算法與資料結構，其中有些演算法已經被主流的程式語言編寫成方便使用的「函式庫」。不過「函式庫」是一種將工作原理藏在內部的「黑箱」，因此大多數人在使用時不見得對演算法有充分的理解。想要寫出執行效能佳的程式，得確實理解演算法的工作原理才行。本書介紹的資料結構與演算法✪陣列的查詢：互換元素／尋找最大值／互換排序／合計／最小元素值／最小元素位置／線性搜尋法／二元搜尋法✪排序：反轉／插入／合併／分割／氣泡排序法／選擇排序法／插入排序法／合併排序法／快速排序法／堆積排序法／計數排序法／希爾排序法✪與整數相關的演算法：埃拉托斯特尼篩法／輾轉相除法✪資料結構：堆疊／佇列／雙向鏈結串列／雜湊表✪陣列的計算：累積和／一維累積和的應用／二維累積和的應用✪堆積：Up Heap／Down Heap／建立堆積／優先佇列✪二元樹的走訪：前序走訪／後序走訪／中序走訪／層序走訪✪其他：廣度優先搜尋／卡恩演算法／深度優先搜尋／Tarjan 演算法／Union By Rank／Union-Find Tree／普林演算法／克魯斯克爾演算法／戴克斯特拉演算法／貝爾曼 - 福特演算法／弗洛伊德演算法／包裹法／葛立恆掃描法／安德魯演算法／線段樹：RMQ／線段樹：RSQ／二

榮獲美國出版人協會（Association of American Publishers）電腦資訊科學最佳書籍獎電腦網路技術無所不在：每天，我們從海量的資訊中搜尋到所要的資訊、我們上傳照片到臉書上、我們運用公鑰加密來傳送私人資訊例如信用卡號碼等等、我們使用數位簽章來確認所造訪的網站的真偽……這本書介紹了讓電腦網路世界得以運作，塑造今日人類生活的九種最重要的演算法（algorithm）。作者挑選這九大演算法的標準是：1.每天會被一般電腦使用者用到的演算法。2.必須能解決現實世界的具體問題。3.主要是與資訊科學理論有關的演算法。4. 美、簡潔、優雅。本書所介紹的九大演算法是：搜尋引擎的索引（search engine indexing）、網頁排序（page rank）、公鑰加密（public-key cryptography）、錯誤更正碼（error-correcting codes）、模式辨識（pattern recognition，如手寫辨識、聲音辨識、人臉辨識等等）、資料壓縮（data compression）、資料庫（databases）、數位簽章（digital signature），以及一種如果存在的話將會很了不起的偉大演算法，並探討電腦能力的極限。作者將我們日常生活會用到的電腦功能背後的道理，以淺顯易懂的方式介紹，不具備資訊科學的背景也可以了解。而且令人驚喜的是，每一種演算法，都是一個解決問題的創意與線索，也讓我們得以一窺近代數學家、資訊科學家的努力探索成果。面對越來越科技化的現代生活與職場挑戰，這些基本原理和概念值得我們去了解、吸收，為未來世界做好準備。媒體好評：「這是一本很容易讀的書，介紹了一些很重要的演算法。最重要的是，這本書傳達了一種神奇——不光是指科技的成就，而是使得電腦發揮神奇功能的美麗科學。」Andreas Trabesinger，《自然物理學》(Nature Physics) 「這本書寫得非常好……風格相當平易近人，適合廣大讀者閱讀。」John Gilbey，《泰晤士報高等教育專刊》(Times Higher Education) 「作者讓讀者有一種發動機的感覺，這台發動機為網路世界提供動力……本書讓讀者體會真實世界，開始看到這些演算法在你我周遭活跳跳。」Kevin Slavin，《新科學家》(New Scientist

In July 1940, the wives and children of British families in Hong Kong, military and civilian, were compulsorily evacuated, following a plan created by the Hong Kong government in 1939. That plan focus

The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc.Because of being perceived as less effect

This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are impl

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on

Students in both social and natural sciences often seek regression methods to explain the frequency of events, such as visits to a doctor, auto accidents, or new patents awarded. This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on

Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in mat

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illu

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illu

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.

This long-anticipated textbook is currently the most up-to-date resource on chemometrics and Multivariate Data Analysis (MVA). The field of chemometrics is the application of multivariate data analysi

Applied Multivariate Research: Design and Interpretation, Third Edition by Lawrence S. Meyers, Glenn Gamst, and A.J. Guarino provides full coverage of the wide range of multivariate topics that gradua

Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation is a concise and innovative book that gives a complete presentation of applied regression analysis in approximate

This book uses applications to introduce multivariate inequalities before describing their explicit forms and theory. It gives many examples of the application of multivariate Bonferroni-type bounds,

Table of Contents: 1. Data and Distributions 2. Numerical Summary Measures 3. Bivariate and Multivariate Data 4. Obtaining Data 5. Probability and Sampling Distributions 6. Quality and Reliability 7. Estimation and Statistical Intervals 8. Testing Statistical Hypotheses 9. The Analysis of Variance 10. Experimental Design 11. Inferential Methods in Regression and Correlation

Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent vari

Approximation by Multivariate Singular Integrals is the first monograph to illustrate the approximation of multivariate singular integrals to the identity-unit operator. The basic approximation proper

Taking into account novel multivariate analyses as well as new options for many standard methods, this renamed, new edition shows readers how to perform multivariate statistical analyses and understan

This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done

This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a tradit

This set features:Linear Regression Analysis, Second Edition by George A. F. Seber and Alan J. Lee (978-0-471-41540-4)Nonlinear Regression by George A. F. Seber and C. J. Wild (978-0-471-471

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedur

This set contains 9780471322993 Applied Multivariate Statistics with SAS? Software, 2nd Edition and 9780471323006 Multivariate Data Reduction and Discrimination with SAS? Software both by Ravindra Kha

Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background,

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodologic

Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the m

This book presents the authors' personal selection of topics in multivariate statistical analysis with emphasis on tools and techniques. Topics included range from definitions of multivariate moments,

Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex methods that flow naturally from multiple regression: path ana

A comprehensive overview of multivariate data and analysis Providing an introduction to the subject of multivariate data analysis without delving deeply into underlying theory and concepts, An Introdu

Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual o

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparame

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparame

Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the sa

This follow up text to the editors' Reading and Understanding Multivariate Statistics applies the accessible approach of the previous work to a new group of multivariate techniques and to related to

Wildlife researchers and ecologists make widespread use of multivariate statistics in their studies. With its focus on the practical application of the techniques of multivariate statistics, this bo