Marketing has gone through several changes over the years. The way companies market themselves and their products are affected by changes and developments in the world. The technological development has led to changes in the way companies market their products. Through the development came social media where the users can tag companies and publish pictures of their products. Users can also follow companies on these social media platforms, and this leads to the question of what images the users want to see there. It also raises the question if the credibility among the customers is affected by the different images. When the users can tag companies in their posts it is an opportunity for the brand to be seen by more people. The question is what motivates the users to tag companies and if they have more of a tendency to do so if they know beforehand that the company will share their post on their own account.The aim of the study is to find out how the credibility affects the user on Instagram when companies publish images with products in a home environment captured by their customers. Furthermore, will the study investigate if users are more likely to tag companies in their posts if they know beforehand that the company will publish their image themselves.The findings indicate that there is no conjunction that say people are more likely to tag companies in their posts if they know beforehand that the company will also post the image. According to the findings the main reason for people tagging companies on Instagram is to participate in a competition. The results of the study show no indication that the image in home environment leads to greater credibility for the company than if they were to publish the product image. As shown by the results however is the credibility among the users affected by the images published by the company.The conclusion of the study is that businesses can benefit from thinking about what images they publish since the images can affect credibility. By publishing images from consumers other users can be more eager to tag the company in their post and as a result more people will hear about the company.The following study is written in Swedish. / Marknadsföring har genomgått flertalet förändringar genom åren. Utvecklingar och skiften i världen påverkar sättet som företag marknadsför sig själva och sina produkter. Med den teknologiska utvecklingen kom en helt ny form av marknadsföring där företag nu kunde använda sociala medier för att nå ut med sitt meddelande till kunderna. På de sociala medierna kan företag publicera bilder marknadsföra sina produkter själva eller använda sig utav influencers. Företag kan även interagera med sina kunder och kunderna i sin tur kan tagga företag i bilder som de lägger ut. Genom att konsumenter taggar företag i bilder kan företag se inläggen och låna bilden för att publicera den på deras egen sida. Det leder till funderingen om användarna som följer företagskontot vill se produktbilder eller dessa bilder i hemmamiljö från kunderna. När kunderna taggar företag blir det en möjlighet för fler personer att höra talas om varumärket. Det kan därmed vara attraktivt för företag att kunder vill tagga dem i deras inlägg. Frågan är dock vad som motiverar användaren till att tagga företag och om användaren skulle vara mer benägen att göra det om de vet på förhand att företag kommer dela deras bild vidare. Syftet med studien är att ta reda på hur trovärdigheten påverkar användaren på Instagram när företag publicerar bilder ur hemmamiljö tagna av sina kunder. Vidare undersöker studien om användare är mer benägna att tagga företag om de vet på förhand att bilden kommer delas vidare. Resultatet av studien visar att det inte finns något samband att fler människor kan tänka sig att tagga företag om de vet på förhand att företaget kommer dela bilden vidare. Enligt resultatet är den största anledningen till att människor taggar företag i inlägg för att delta i en tävling. Resultatet indikerar inte heller att bilden i hemmamiljö ger större trovärdighet för företaget när den publiceras istället för en produktbild. Däremot antyder resultatet att trovärdigheten påverkas av de bilder som företag lägger ut på Instagram. Slutsatsen som dras av studien är att företag kan dra nytta av att tänka igenom vilka bilder de publicerar då det påverkar trovärdigheten hos de som ser den. Genom att företag publicerar bilder i hemmamiljö från kunderna kan de uppmuntra kunder till att dela med sig av företagets namn och därmed nå fler människor. När användare på Instagram taggar företag sprids kännedom om varumärket vilket kan vara positivt för företag. Då användare kan tänka sig att tagga företag kan det därmed finnas en fördel för företag att möjliggöra till taggande.

In certain areas such as Pharmacokinetic(PK) and Pharmacodynamic(PD), the hazard rate function, denoted by ??, plays a central role in modeling the instantaneous risk of failure time data. In the context of assessing the appropriateness of a given parametric hazard rate model, Huh and Hutmacher [22] showed that their hazard-based visual predictive check is as good as a visual predictive check based on the survival function. Even though Huh and Hutmacher’s visual method is simple to implement and interpret, the final decision reached there depends on the personal experience of the user. In this thesis, our primary aim is to develop nonparametric goodness-ofit tests for hazard rate functions to help bring objectivity in hazard rate model selections or to augment subjective procedures like Huh and Hutmacher’s visual predictive check. Toward that aim two nonparametric goodnessofit (g-o) test statistics are proposed and they are referred to as chi-square g-o test and kernel-based nonparametric goodness-ofit test for hazard rate functions, respectively. On one hand, the asymptotic distribution of the chi-square goodness-ofit test for hazard rate functions is derived under the null hypothesis ??0 : ??(??) = ??0(??) ??? ? R + as well as under the fixed alternative hypothesis ??1 : ??(??) = ??1(??) ??? ? R +. The results as expected are asymptotically similar to those of the usual Pearson chi-square test. That is, under the null hypothesis the proposed test converges to a chi-square distribution and under the fixed alternative hypothesis it converges to a non-central chi-square distribution. On the other hand, we showed that the power properties of the kernel-based nonparametric goodness-ofit test for hazard rate functions are equivalent to those of the Bickel and Rosenblatt test, meaning the proposed kernel-based nonparametric goodness-ofit test can detect alternatives converging to the null at the rate of ???? , ?? < 1/2, where ?? is the sample size. Unlike the latter, the convergence rate of the kernel-base nonparametric g-o test is much greater; that is, one does not need a very large sample size for able to use the asymptotic distribution of the test in practice.

Affinity 2.5 is a computer-based instrument designed to measure sexual interest using viewing time of images depicting fully-clothed males and females of different ages. Participants are asked to rate the sexual attractiveness of the person in the image according to a 15-point scale while their viewing time of each image is surreptitiously monitored. The validity of viewing time as a measure of sexual interest is based on social cognition theory and is established in the review of literature. The number of images comprising Affinity 2.5 represents a 42.9% increase from the previous version of the assessment, Affinity 2.0. The purpose of this study was to examine the temporal stability of scores on Affinity 2.5 for a sample of exclusively heterosexual, nonpedophilic males and females. Viewing time data from 63 males and 84 females were analyzed using a chi-square procedure. Results of this analysis indicate that 86% of responses from the male participants and 88% of responses from the female participants were consistent from time one to time two. As suspected, these percentages represent an increase in reliability over the temporal stability of the shorter Affinity 2.0.

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No description available.

This study investigates the association between traditional and alternative working capital measures and the returns of industrial firms listed on the Johannesburg Stock E"change. Twenty five variables for all industrial firms listed for the most recent 10 years were derived from standardised annual balance sheet data of the University of Pretoria's Bureau of Financial Analysis. Traditional liquidity ratios measuring working capital position, activity and leverage, and alternative liquidity measures, were calculated for each of the 135 participating firms for the 1 0 years. These working capital measures were tested for association with five return measures for every firm over the same period. This was done by means of a chi-square test for association, followed by stepwise multiple regression undertaken to quantify the underlying structural relationships between the return measures and the working capital measures. The results of the tests indicated that the traditional working capital leverage measures, in particular, total current liabilities divided by funds flow, and to a lesser e"tent, long-term loan capital divided by net working capital, displayed the greatest associations, and e"plained the majority of the variance in the return measures. At-test, undertaken to analyse the size effect on the working capital measures employed by the participating firms, compared firms according to total assets. The results revealed significant differences between the means of the top quartile of firms and the bottom quartile, for eight of the 13 working capital measures included in the study. A nonparametric test was applied to evaluate the sector effect on the working capital measures employed by the participating firms. The rank scores indicated significant differences in the means across the sectors for si" of the 13 working capital measures. A decrease in the working capital leverage measures of current liabilities divided by funds flow, and long-term loan capital divided by net working capital, should signal an increase in returns, and vice versa. It is recommended that financial managers consider these findings when forecasting firm returns. / Business Management / D. Com. (Business Management)

This thesis is mainly concerned with the estimation of conditional probabilities in two-way contingency tables, that is probabilities of type P(R=i,S=j|X=x), for (i,j) in {1, . . . , r}×{1, . . . , s}, where R and S are the two categorical variables forming the contingency table, with r and s levels respectively, and X is a vector of explanatory variables possibly associated with R, S, or both. Analyzing such a conditional distribution is often of interest, as this allows to go further than the usual unconditional study of the behavior of the variables R and S. First, one can check an eventual effect of these covariates on the distribution of the individuals through the cells of the table, and second, one can carry out usual analyses of contingency tables, such as independence tests, taking into account, and removing in some sense, this effect. This helps for instance to identify the external factors which could be responsible for an eventual association between R and S. This also gives the possibility to adapt for a possible heterogeneity in the population of interest, when analyzing the table.

製程能力指標（process capability index）常被用來評量製程能力的高低。它結合規格及製程變異於一指標，便利使用者易於了解指標的意義。 若吾人主張一製程能力大於某一定值，當同時控制型I及型II過誤，這時，臨界值（critical value）及樣本大小n即可決定。若同時存在有數個大於某一定值的製造過程，吾人欲挑選具有最大製程能力的製程，這時，我們提出一個客觀的準則來加以選擇。 本篇論文的特色是以解析法來決定臨界值及樣本大小n，並於挑選最大的製程能力時能提出一個客觀的挑選準則。 研究中發現：雖然逼近常用的統計上查表值時有些誤差，但誤差不大。故本文討論的過程中所用的方法及結論，適用於線上作業。

企業為了不斷成長並追求永續經營，並因應快速變化的外在環境與日趨激烈的國際競爭，需不斷地加強或擴增員工的知識、技術及能力，因而建立短期與長期性的人才培育之訓練有其重要性。 國際級工程案競爭越形激烈，尤其有韓國工程公司競爭性策略搶標及大陸崛起積極跨入國際市場之隱憂，加上客戶在維持高品質及持續壓縮工期之需求，個案公司(簡稱以下A公司)成長及獲利空間均受到嚴苛的挑戰。為提昇在國際上競爭力，A公司設計部必須面對培植具豐富工程經驗及國際級之設計人才問題。而目前面臨5年以下經驗工程師達人數比例佔42%以上(即年輕工程師比例偏高) ，7~15年經驗工程師人數佔10%相對偏低之M型人力結構及未來幾年面臨退休潮，如何加速培育年輕工程師須具備世界級的專業技術及落實資深工程師經驗傳承，達成各職級人力結構合理化，提升設計品質，為A公司當務之急。 為能瞭解A公司現行各項教育訓練之效益，揭示員工對A公司教育訓練方式的意見或需求，本研究採用問卷調查並分為五大類，第一，專業技術訓練的同意度與重要度；第二，經驗傳承的同意度與重要度；第三，跨部門訓練的同意度；第四，管理訓練的同意度；第五，英文能力方面的同意度。以上各問項再與人口統計變數做交叉分析，尋求出目前教育訓練之成效如何及提出改善建議。 其中專業技術訓練與經驗傳承再將每個同意度和重要性的問項平均後做出二維分布圖(IPA分析圖)，利用同意度和重要性整體的平均切割分成四個區域，即優越區、過剩區、優先改進區及建議改進區，尤其問項落在優先改進區、建議改進區及過剩區時，則進一步進行原因分析及提出改善建議。 對跨部門訓練、管理課程與英文能力等問項，則以同意度與人口統計交叉分析結果，根據其滿意度程度及卡方檢定(Chi-Square Test)結果有統計上顯著差異關係之受訪者基本資料提出改善建議。 / Enterprises need to continuously enhance knowledge, skills, and abilities of their employees for sustainable business development and adapting to rapid changing environment as well as fierce international competition. The importance of developing short-term and long-term talent training programs is thus recognized. Under some unfavorable conditions, which include keen competition in global EPC (engineering, procurement and construction) industry, Korean engineering companies’ strategic bidding, mainland China contending in international markets, clients’ request for quality and compressed work schedule at the same time, etc…, the case company (designated as company A) is facing severe challenges in achieving profitable growth. The company A must cope with the problem of cultivating world-class and experienced talent to promote its competitiveness in international markets. It’s the company A’s top priority to tackle the engineering talent gap at the range of seniority between 7 to 15 years (10%) whereas the young engineers with less than 5 years of experience account for more than 42% of its talent pool and engineers will retire that are increased in near future year. It’s important for the company A to professionalize young engineers, facilitate knowledge transferring, and optimize its staffing structure. A questionnaire survey research was undertaken to understand the effectiveness of the training programs and reveal the employees’ opinion or request on the training activities of the company A. The questionnaire variables were classified into five categories: 1. degree of agreement and importance of professional skills training; 2. degree of agreement and importance of intergenerational transfer of experience; 3. degree of agreement on cross-disciplinary training; 4. degree of agreement on management training; 5. degree of agreement on English competency requirements. Demographic variables were used to cross analyze the survey result. The analysis was also used to find the causes of training deficiency and to explore improvement ideas. The survey results of questionnaire variables in the first two categories, degree of agreement and importance of professional skills training and intergenerational transfer of experiencewere, were used to develop two-dimensional scatter diagrams (IPA matrices). The mean ratings of degree of agreement and importance were plotted in a two-dimensional grid to produce a four-quadrant matrix that identifies areas of Keep Up the Good Work, Possible Overkill, Concentrate Here, and Low Priority. Causes and improvement plans were further investigated for variables situate in the quadrant Concentrate Here, Low Priority, and Possible Overkill. For the survey results of questionnaire variables in the other three categories, degree of agreement on cross-disciplinary training, management training and English competency requirements, cross tabulation analyses using demographic variables were performed. According improvement plans were proposed for the respondent demographics when statistically significant differences between the degree of satisfaction and chi-square test result were observed.

Das Ziel der vorliegenden Arbeit war die Erstellung eines dreidimensionalen Untergrundmodells der Region Göttingen basierend auf einer geotechnischen Klassifikation der unkosolidierten Sedimente. Die untersuchten Materialen reichen von Lockersedimenten bis hin zu Festgesteinen, werden jedoch in der vorliegenden Arbeit als Boden, Bodenklassen bzw. Bodenkategorien bezeichnet. Diese Studie evaluiert verschiedene Möglichkeiten durch geostatistische Methoden und Simulationen heterogene Untergründe zu erfassen. Derartige Modellierungen stellen ein fundamentales Hilfswerkzeug u.a. in der Geotechnik, im Bergbau, der Ölprospektion sowie in der Hydrogeologie dar. Eine detaillierte Modellierung der benötigten kontinuierlichen Parameter wie z. B. der Porosität, der Permeabilität oder hydraulischen Leitfähigkeit des Untergrundes setzt eine exakte Bestimmung der Grenzen von Fazies- und Bodenkategorien voraus. Der Fokus dieser Arbeit liegt auf der dreidimensionalen Modellierung von Lockergesteinen und deren Klassifikation basierend auf entsprechend geostatistisch ermittelten Kennwerten. Als Methoden wurden konventionelle, pixelbasierende sowie übergangswahrscheinlichkeitsbasierende Markov-Ketten Modelle verwendet. Nach einer generellen statistischen Auswertung der Parameter wird das Vorhandensein bzw. Fehlen einer Bodenkategorie entlang der Bohrlöcher durch Indikatorparameter beschrieben. Der Indikator einer Kategorie eines Probepunkts ist eins wenn die Kategorie vorhanden ist bzw. null wenn sie nicht vorhanden ist. Zwischenstadien können ebenfalls definiert werden. Beispielsweise wird ein Wert von 0.5 definiert falls zwei Kategorien vorhanden sind, der genauen Anteil jedoch nicht näher bekannt ist. Um die stationären Eigenschaften der Indikatorvariablen zu verbessern, werden die initialen Koordinaten in ein neues System, proportional zur Ober- bzw. Unterseite der entsprechenden Modellschicht, transformiert. Im neuen Koordinatenraum werden die entsprechenden Indikatorvariogramme für jede Kategorie für verschiedene Raumrichtungen berechnet. Semi-Variogramme werden in dieser Arbeit, zur besseren Übersicht, ebenfalls als Variogramme bezeichnet. IV Durch ein Indikatorkriging wird die Wahrscheinlichkeit jeder Kategorie an einem Modellknoten berechnet. Basierend auf den berechneten Wahrscheinlichkeiten für die Existenz einer Modellkategorie im vorherigen Schritt wird die wahrscheinlichste Kategorie dem Knoten zugeordnet. Die verwendeten Indikator-Variogramm Modelle und Indikatorkriging Parameter wurden validiert und optimiert. Die Reduktion der Modellknoten und die Auswirkung auf die Präzision des Modells wurden ebenfalls untersucht. Um kleinskalige Variationen der Kategorien auflösen zu können, wurden die entwickelten Methoden angewendet und verglichen. Als Simulationsmethoden wurden "Sequential Indicator Simulation" (SISIM) und der "Transition Probability Markov Chain" (TP/MC) verwendet. Die durchgeführten Studien zeigen, dass die TP/MC Methode generell gute Ergebnisse liefert, insbesondere im Vergleich zur SISIM Methode. Vergleichend werden alternative Methoden für ähnlichen Fragestellungen evaluiert und deren Ineffizienz aufgezeigt. Eine Verbesserung der TP/MC Methoden wird ebenfalls beschrieben und mit Ergebnissen belegt, sowie weitere Vorschläge zur Modifikation der Methoden gegeben. Basierend auf den Ergebnissen wird zur Anwendung der Methode für ähnliche Fragestellungen geraten. Hierfür werden Simulationsauswahl, Tests und Bewertungsysteme vorgeschlagen sowie weitere Studienschwerpunkte beleuchtet. Eine computergestützte Nutzung des Verfahrens, die alle Simulationsschritte umfasst, könnte zukünftig entwickelt werden um die Effizienz zu erhöhen. Die Ergebnisse dieser Studie und nachfolgende Untersuchungen könnten für eine Vielzahl von Fragestellungen im Bergbau, der Erdölindustrie, Geotechnik und Hydrogeologie von Bedeutung sein.