標(biāo)題: Titlebook: Analysis of Categorical Data from Historical Perspectives; Essays in Honour of Eric J. Beh,Rosaria Lombardo,Jose G. Clavel Book 2023 The E [打印本頁(yè)] 作者: hearken 時(shí)間: 2025-3-21 17:27
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives影響因子(影響力)
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives影響因子(影響力)學(xué)科排名
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives被引頻次
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書(shū)目名稱Analysis of Categorical Data from Historical Perspectives讀者反饋
書(shū)目名稱Analysis of Categorical Data from Historical Perspectives讀者反饋學(xué)科排名
作者: CAPE 時(shí)間: 2025-3-21 22:17 作者: 單純 時(shí)間: 2025-3-22 03:55
Contrasts for?Neyman’s Modified Chi-Square Statistic in?One-Way Contingency Tables022), however, argued against its use in multiple comparisons on the ground that in this statistic, hypothesised mean and variance-covariance structures of observed frequencies (proportions) are closely linked, so that rejecting the former necessarily implies rejecting the latter as well. To avoid t作者: 暫停,間歇 時(shí)間: 2025-3-22 06:48 作者: Invertebrate 時(shí)間: 2025-3-22 09:56
Confounding, a?Nuisance Addressedg. As aggregation, used to isolate an effect of a predictor variable on the dependant variable, leads to confounding if the contingency table is non-orthogonal, the proposed method relies on the loss of information when the correlation between two variables with . and . categories is eliminated by r作者: 倔強(qiáng)不能 時(shí)間: 2025-3-22 14:43
Correcting for?Context Effects in?Ratings transformation is referred to as . and involves the creation of items corresponding to boundaries between the values of the rating scale. The resulting dual-scaling values for these boundaries can be used to quantify differences in respondents’ scale use. In this chapter, we show how a particular m作者: 是貪求 時(shí)間: 2025-3-22 21:05 作者: Exonerate 時(shí)間: 2025-3-22 21:59 作者: 使尷尬 時(shí)間: 2025-3-23 03:11 作者: 北極人 時(shí)間: 2025-3-23 07:42
Dual Scaling of?Rating Dataowever, the methods differ. To a large extent this is due to differences in pre-processing of the data. In particular, in dual scaling, ratings are either transformed to rank order, or to successive category data before applying a customised dual scaling approach. In correspondence analysis, on the 作者: 珠寶 時(shí)間: 2025-3-23 12:44 作者: 檔案 時(shí)間: 2025-3-23 15:51
The Emergence of?Joint Scales in?the?Social and?Behavioural Sciences: Cumulative Guttman Scaling andy standardised person scores. It started with Francis Galton’s invention of the statistical scale, the basis of classic mental and educational testing. The stimulus-centred approach provides psychological scale values of stimuli by using just noticeable differences on a physical scale. It was the ba作者: 航海太平洋 時(shí)間: 2025-3-23 18:22 作者: LATER 時(shí)間: 2025-3-24 01:01
Analysis of?Contingency Table by?Two-Mode Two-Way Multidimensional Scaling with?Bayesian Estimation are particularly useful for analysing data on human behaviour, which often involves many qualitative variables. One method for visualising contingency tables is based on a log-linear model and multidimensional scaling. The advantage of this method is that the distances between categories of row and作者: 才能 時(shí)間: 2025-3-24 06:24 作者: JUST 時(shí)間: 2025-3-24 08:45 作者: 大漩渦 時(shí)間: 2025-3-24 14:20
Analysis of Categorical Data from Historical Perspectives978-981-99-5329-5Series ISSN 2524-4027 Series E-ISSN 2524-4035 作者: Dungeon 時(shí)間: 2025-3-24 18:40
Politisches Flut-Framing im Wahlkampfng and its applications. This revisitation starts with the pioneers of scaling in statistics, psychometrics and psychology before moving on to more contemporary treatments of scaling that fall within the realm of machine learning and neural networks.作者: BOOM 時(shí)間: 2025-3-24 22:05 作者: Derogate 時(shí)間: 2025-3-24 23:23
Technikgestaltung aus der Sicht des NutzersEpisodes of some people in Japan and abroad are discussed who have involved themselves in the development of multivariate methods for categorical data and its related topics. Several stories of their families are also mentioned.作者: LEER 時(shí)間: 2025-3-25 06:11 作者: Minatory 時(shí)間: 2025-3-25 10:41 作者: Adrenal-Glands 時(shí)間: 2025-3-25 13:05
Old and?New Perspectives on?Optimal Scalingng and its applications. This revisitation starts with the pioneers of scaling in statistics, psychometrics and psychology before moving on to more contemporary treatments of scaling that fall within the realm of machine learning and neural networks.作者: MOT 時(shí)間: 2025-3-25 18:24
Eric J. Beh,Rosaria Lombardo,Jose G. ClavelOverviews the history of analysis of categorical data through quantification and classification.Summarizes many topics relevant to the analysis of categorical data.Reviews the work of those who have a作者: 逗它小傻瓜 時(shí)間: 2025-3-25 20:35
Behaviormetrics: Quantitative Approaches to Human Behaviorhttp://image.papertrans.cn/a/image/156337.jpg作者: 無(wú)所不知 時(shí)間: 2025-3-26 00:38 作者: FOR 時(shí)間: 2025-3-26 07:15
Prinzip der Digitalen Volumentomographie, of association, this paper establishes an operational meaning of the Pearson’s chi-squared as a measure of association. Its normalised version, phi-squared, is the average change of the probability of a category of a feature when a category of the other feature becomes known. Associations between i作者: 分開(kāi)如此和諧 時(shí)間: 2025-3-26 11:10 作者: heterodox 時(shí)間: 2025-3-26 12:54 作者: happiness 時(shí)間: 2025-3-26 20:30
Politisches Flut-Framing im Wahlkampfg. As aggregation, used to isolate an effect of a predictor variable on the dependant variable, leads to confounding if the contingency table is non-orthogonal, the proposed method relies on the loss of information when the correlation between two variables with . and . categories is eliminated by r作者: 和平 時(shí)間: 2025-3-26 21:49
Politisches Flut-Framing im Wahlkampf transformation is referred to as . and involves the creation of items corresponding to boundaries between the values of the rating scale. The resulting dual-scaling values for these boundaries can be used to quantify differences in respondents’ scale use. In this chapter, we show how a particular m作者: 合適 時(shí)間: 2025-3-27 01:07
Politisches Flut-Framing im Wahlkampfng and its applications. This revisitation starts with the pioneers of scaling in statistics, psychometrics and psychology before moving on to more contemporary treatments of scaling that fall within the realm of machine learning and neural networks.作者: disciplined 時(shí)間: 2025-3-27 08:57 作者: watertight, 時(shí)間: 2025-3-27 12:26 作者: 一瞥 時(shí)間: 2025-3-27 14:49
Offene Probleme und Herausforderungen,owever, the methods differ. To a large extent this is due to differences in pre-processing of the data. In particular, in dual scaling, ratings are either transformed to rank order, or to successive category data before applying a customised dual scaling approach. In correspondence analysis, on the 作者: inflate 時(shí)間: 2025-3-27 19:56
https://doi.org/10.1007/978-3-658-43990-3nts that were made shortly thereafter by several prominent psychometricians, such as Truman Lee Kelley and L. L. Thurstone. The emphasis in the present historical survey is on the origins of principal components per se. Other papers in this . for Shizuhiko Nishisato are expected to concentrate on th作者: 內(nèi)閣 時(shí)間: 2025-3-27 23:20
Fragestellung & Hypothesen der Arbeit,y standardised person scores. It started with Francis Galton’s invention of the statistical scale, the basis of classic mental and educational testing. The stimulus-centred approach provides psychological scale values of stimuli by using just noticeable differences on a physical scale. It was the ba作者: Bumptious 時(shí)間: 2025-3-28 03:40
Entwicklung der Erhebungsinstrumente,dels to multi-way data have also been proposed. When analysing preference data, a particular case of proximity data, we must exclude errors in data or extend the model to treat them. We propose a distance model that is a type of probabilistic distance model for treating the errors in data. A small s作者: 殺子女者 時(shí)間: 2025-3-28 09:59
Anwendungsbeispiele aus der Praxis, are particularly useful for analysing data on human behaviour, which often involves many qualitative variables. One method for visualising contingency tables is based on a log-linear model and multidimensional scaling. The advantage of this method is that the distances between categories of row and作者: 燦爛 時(shí)間: 2025-3-28 12:24
https://doi.org/10.1007/978-3-662-57405-8in two-way and higher-order contingency tables. In this paper, we elaborate on tests for one-way tables or for one-way marginal tables derived from higher-order tables. These cases are separately treated here, since they present a special need that does not arise in the analysis of higher-order tables.作者: 公式 時(shí)間: 2025-3-28 17:26 作者: 確認(rèn) 時(shí)間: 2025-3-28 22:20 作者: Ancillary 時(shí)間: 2025-3-29 01:02 作者: 消滅 時(shí)間: 2025-3-29 05:27 作者: 冥想后 時(shí)間: 2025-3-29 09:21
Offene Probleme und Herausforderungen,other hand, a so-called doubling of the original ratings is applied before applying the usual correspondence analysis formulas. In this paper, we consider these differences in detail. We propose a dual scaling variant that can be applied directly to the ratings and we compare theoretical as well as practical properties of the different approaches.作者: largesse 時(shí)間: 2025-3-29 14:55 作者: gratify 時(shí)間: 2025-3-29 15:51 作者: arthroplasty 時(shí)間: 2025-3-29 22:26 作者: GRATE 時(shí)間: 2025-3-30 01:46
RFID und die Zukunft der Privatsph?relife has been with an incredibly wide human network and ends with the heartfelt thanks to a countless number of mentors, friends, and the family members. Published books and selected research papers are also listed.作者: 倔強(qiáng)不能 時(shí)間: 2025-3-30 07:22 作者: TOM 時(shí)間: 2025-3-30 09:36 作者: 花費(fèi) 時(shí)間: 2025-3-30 13:45
https://doi.org/10.1007/978-3-658-43990-3t historical survey is on the origins of principal components per se. Other papers in this . for Shizuhiko Nishisato are expected to concentrate on the computational engine behind principal components as used for a number of areas in categorical data analysis.作者: 中世紀(jì) 時(shí)間: 2025-3-30 19:48
Entwicklung der Erhebungsinstrumente, extend the model to treat them. We propose a distance model that is a type of probabilistic distance model for treating the errors in data. A small simulation study was done, and an application to an actual data set is also shown作者: 解脫 時(shí)間: 2025-3-30 23:58
Gratitude: A Life Relivedlife has been with an incredibly wide human network and ends with the heartfelt thanks to a countless number of mentors, friends, and the family members. Published books and selected research papers are also listed.作者: foodstuff 時(shí)間: 2025-3-31 03:38 作者: 農(nóng)學(xué) 時(shí)間: 2025-3-31 06:51
Correcting for?Context Effects in?Ratingsng dual-scaling values for these boundaries can be used to quantify differences in respondents’ scale use. In this chapter, we show how a particular method, inspired by the work of Nishisato, can be used to de-bias observed ratings that have been subject to range and frequency manipulations.作者: 動(dòng)作謎 時(shí)間: 2025-3-31 11:33 作者: 隼鷹 時(shí)間: 2025-3-31 15:06
