# HB-Reg v4.2.2 貝斯階層回歸軟體-研究分析軟體/新永資訊有限公司

## HB-Reg v4.2.2 貝斯階層回歸軟體

• HB-Reg v4.2.2 貝斯階層回歸軟體
• 類別
研究分析軟體
• 介紹
什麼是分層貝斯階層回歸（HB-Reg）？在市場研究數據的分析中，有很多時候研究人員有受訪者，商店或其他實驗單位的樣本，並希望估計每個單位的單獨回歸係數。在過去幾年中，分層貝葉斯（HB）估計在市場營銷研究中發揮著越來越重要的作用。它可以在精度和有效性方面改進參數估計（例如β權重和效用）。我們的HB-Reg軟件用於基於回歸的問題，其中受訪者提供包含連續因變量的多個觀察（病例）。

### HB-Reg v4.2.2 Bayside regression software

Overview
HB-Reg software is a general analytical tool for estimating regression problems at the individual level involving a continuous dependent variable. It is only appropriate when respondents provide multiple observations (cases).

Features
•Up to 1000 parameters per respondent, for unlimited respon
dents.
•Uses comma-delimited input files
•HB-Reg is designed to run on Microsoft Windows 2000 or
later.

Methodology
In the analysis of marketing research data, there are many occasions when the researcher has a sample of respondents, stores, or other experimental units, and wishes to estimate separate regression coefficients for each unit.
Consider three examples:
In full-profile conjoint analysis, respondents give preference ratings for hypothetical product concepts. Regression analysis is often used, where the independent variables are columns of a "design matrix" describing the concepts, and the dependent variable consists of preference ratings.
Respondents in a customer satisfaction study provide ratings of several companies. Some ratings are on "explanatory" variables, such as customer service, product durability, convenience of use, etc. Other ratings are more general, such as overall satisfaction with the companies' products. One goal of the study is to infer the relative importance of each explanatory factor in determining overall satisfaction.
During a pricing experiment in grocery stores, the prices of several products are varied systematically in different time periods, and sales of each product are measured with scanner data. The independent variables are product prices and other factors such as the presence of displays, coupons, and newspaper features. The dependent variables are product sales.
In each situation, respondents or stores may have different regression functions. In the past, researchers have often tried to handle this problem by ignoring heterogeneity among individuals, pooling all the data, and estimating a single set of regression coefficients that describe the "average" individual. However, aggregate regression confounds heterogeneity (true differences between respondents/stores) with noise. Because HB-Reg can distinguish heterogeneity from noise, it results in more stable individual- AND aggregate-level estimates of betas. HB-Reg also is more robust in the case of multicolinearity among the independent variables than aggregate regression.
Several recent articles have shown that hierarchical Bayes estimation can do a creditable job of estimating individual parameters even when there are more parameters than observations per individual. This is done by considering each individual to be a sample from a population of similar individuals, and "borrowing" information from other individuals in the estimation for each one.
HB-Reg offers parameter constraints, meaning the ability to constrain certain parameters to be larger (smaller) than others, or to be greater than or less than zero. Advanced users can also control the prior variance and covariances, and degrees of freedom for the prior covariance matrix. These features will permit more reasonable estimation of parameters, even when relatively sparse information is available within the unit of analysis.
When using the full-size system, up to 1000 parameters per individual can be estimated. HB-Reg requires the Microsoft .NET framework.

### 系統需求

Windows, Windows 95, Windows 98, Windows 2000, Windows XP, Windows Vista, Windows NT, Excel, PowerPoint, and Word are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries.

### HB-Reg v4.2.2 貝斯階層回歸軟體

HB-Reg軟件是用於評估涉及連續因變量的個體水平上回歸問題的通用分析工具。僅當受訪者提供多個觀察結果（案例）時才適用。

•每個受訪者最多可使用1000個參數，適用於無限個受訪者。
•使用逗號分隔的輸入文件
•HB-Reg設計為在Microsoft Windows 2000或更高版本上運行。

HB-Reg提供參數約束，這意味著可以將某些參數限制為大於（小於）其他參數，或者大於或小於零。高級用戶還可以控制先驗方差和協方差，以及先驗方差矩陣的自由度。這些功能將允許對參數進行更合理的估計，即使在分析單位內可獲得相對稀疏的信息時也是如此。

### NBS (Neurobehavioral Systems) Presentation® 23.1神經科學軟體

Presentation®是神經科學的刺激傳遞和實驗控製程序。它可以在任何Windows PC上運行，並以亞毫秒的時間精度提供聽覺，視覺和多模式刺激。使用fMRI，ERP，MEG，心理物理學，眼動，單神經元記錄，反應時間測量，其他性能測量等，演示功能足以處理幾乎任何行為，心理或生理實驗。 Presentation是世界上最受歡迎的實驗控制軟件，具有94046個註冊和211032次下載，並且可以計數。 Presentation®軟件，一個用於神經科學的精確而強有力的刺激方案呈現和實驗控制系統。

### Expert Choice 決策支援分析軟體

Expert Choice 是進階決策支援軟體服務的領導廠商。從IT的投資組合管理到決策計畫進一步到供應商選擇，Expert Choice 能夠幫助您的公司組織做出更好的決策及改善盈虧結算線。