Making the Most of Your Samples

We study the problem of setting a price for a potential buyer with a valuation drawn from an unknown distribution $D$. The seller has "data"' about $D$ in the form of $m \ge 1$ i.i.d. samples, and the algorithmic challenge is to use these samples to obtain expected revenue as close as possible to what could be achieved with advance knowledge of $D$. Our first set of results quantifies the number of samples $m$ that are necessary and sufficient to obtain a $(1-\epsilon)$-approximation. For example, for an unknown distribution that satisfies the monotone hazard rate (MHR) condition, we prove that $\tilde{\Theta}(\epsilon^{-3/2})$ samples are necessary and sufficient. Remarkably, this is fewer samples than is necessary to accurately estimate the expected revenue obtained by even a single reserve price. We also prove essentially tight sample complexity bounds for regular distributions, bounded-support distributions, and a wide class of irregular distributions. Our lower bound approach borrows tools from differential privacy and information theory, and we believe it could find further applications in auction theory. Our second set of results considers the single-sample case. For regular distributions, we prove that no pricing strategy is better than $\tfrac{1}{2}$-approximate, and this is optimal by the Bulow-Klemperer theorem. For MHR distributions, we show how to do better: we give a simple pricing strategy that guarantees expected revenue at least $0.589$ times the maximum possible. We also prove that no pricing strategy achieves an approximation guarantee better than $\frac{e}{4} \approx .68$

Facility for Customizing Transaction Forms on Master Data Using an Online Accounting System Web for Work Efficiency Company

In the online accounting system based on a website that is very sophisticated and growing, complete facilities are certainly needed to support the smoothness and ease of accountants to apply to a company's finance. as in most other list facilities in the online accounting data master system is very influential in the ease of application consists of several features such as managing tax, warehouse list, changing product units, and terms and method of payment of the transaction itself. as an example of this tax regulating feature, it is very important, because it serves to direct and display a list of the types of taxes that the company uses for sales transactions to customers or purchases to company suppliers. then for the warehouse list is also important with other features in the master data facility that is to monitor warehouses or can be referred to as the branch of the company that you noted in your company's online accounting. To change product units can make it easier to describe the number of products available in the company, such as dozen samples, packages, boards, fruits, and pcs. the terms and method of payment in this menu function to create new and display the payment methods used by your company to your suppliers when making transactions. So, with the facilities in the master data can facilitate and provide work efficiency in shortening the flow and process on the features available in the master data facility.   Keywords​: ​Master Data, Register Warehouse, Change Products, and Payment Method​

Training needs and supports for evidence-based decision making among the public health workforce in the United States

BACKGROUND: Preparing the public health workforce to practice evidence-based decision making (EBDM) is necessary to effectively impact health outcomes. Few studies report on training needs in EBDM at the national level in the United States. We report competency gaps to practice EBDM based on four U.S. national surveys we conducted with the state and local public health workforce between 2008 and 2013. METHODS: We compared self-reported data from four U.S. national online surveys on EBDM conducted between 2008 and 2013. Participants rated the importance of each EBDM competency then rated how available the competency is to them when needed on a Likert scale. We calculated a gap score by subtracting availability scores from importance scores. We compared mean gaps across surveys and utilized independent samples t tests and Cohen’s d values to compare state level gaps. In addition, participants in the 2013 state health department survey selected and ranked three items that “would most encourage you to utilize EBDM in your work” and items that “would be most useful to you in applying EBDM in your work”. We calculated the percentage of participants who ranked each item among their top three. RESULTS: The largest competency gaps were consistent across all four surveys: economic evaluation, communicating research to policymakers, evaluation designs, and adapting interventions. Participants from the 2013 state level survey reported significantly larger mean importance and availability scores (p <0.001, d =1.00, and p <0.001, d = .78 respectively) and smaller mean gaps (p <0.01, d = .19) compared to the 2008 survey. Participants most often selected “leaders prioritizing EBDM” (67.9%) among top ways to encourage EBDM use. “EBDM training for specific areas” was most commonly ranked as important in applying EBDM (64.3%). CONCLUSION: Perceived importance and availability of EBDM competencies may be increasing as supports for EBDM continue to grow through trends in funding, training, and resources. However, more capacity building is needed overall, with specific attention to the largest competency gaps. More work with public health departments to both situate trainings to boost competency in these areas and continued improvements for organizational practices (leadership prioritization) are possible next steps to sustain EBDM efforts

The Most Suitable Way of Teaching

Within the context of educational science it is necessary to deal with ways of making the transmission of knowledge to individuals more effective. In trying to find out which is the best way of teaching K-12 curriculum (that is how publicly supported education from kindergarten to High school is called in most countries), we asked our samples, which consists of eighteen (18) nursery (or pre-education) teachers, twenty five (25) primary teachers, fourteen (14) IT (or Computing) teachers and nine (9) secondary teachers, one simple question “Which is the most suitable way of teaching according to your opinion?”. The research background consists of educators’ efforts to comprehend ways of effective and functional teaching through the years. The method of our research is qualitative and the tools we use adopt elements from semi-structured e-mail interviews and discourse analysis. Expressing themselves in various ways, teachers ended up stating that the most suitable way of teaching is Group collaborative teaching/learning. We could claim that all teachers participating in our research try to match their teaching method to pupils’ needs and that is an essential and strong element. What makes the topic significant is the fact that how to teach is an issue that concerns educators (and not only) worldwide and since aspects are numerous and not always conclusive, it is interesting to highlight them and constantly study educational reality. Keywords: Way of Teaching; Didactics; Teachers; Qualitative Research DOI: 10.7176/JEP/12-29-02 Publication date:October 31st 202

Cultural Engagement in California's Inland Regions

Cultural Engagement in California's Inland Regions explores patterns of cultural engagement in the San Joaquin Valley and the Inland Empire. Two major data collection efforts were undertaken. The first was a door-to-door intercept survey of more than 1,000 randomly selected households in six distinctly different neighborhoods, three in the Fresno area and three in Riverside and San Bernardino. The second was a self-administered survey of more than 5,000 residents of the two regions, promoted as the "California Cultural Census" and conducted online and through intercept work at various locations and events. It is important to note that this second data set aggregates multiple samples, including respondents who were selected at the convenience of outreach organizations. Although weighted to reduce potential biases, these data are not representative of all adults in the two regions. Results paint a detailed picture of the breadth and depth of cultural engagement in the two regions and reveal a range of activity in music, theater and drama, reading and writing, dance, and visual arts and crafts -- much of which occurs off the radar" of the traditional infrastructure of nonprofit arts organizations and facilities. The study identifies specific types of activities which, if supported at higher levels, might equitably raise participation levels and achieve higher levels of cultural vitality in millions of homes and hundreds of communities. It concludes that cultural providers and funders should look deeper into the fabric of their communities for new partners, new settings and innovative approaches to drawing residents into cultural experiences. This briefing provides a high level summary of the study's key findings, as well as discussion questions for cultural providers and funders. Comprehensive results are available at www.irvine.org, including an executive summary and detailed results by artistic discipline

Time, institutional support and quality of decision making in child protection:A cross-country analysis

This paper examines perceptions of time and institutional support for decision making and staff confidence in child welfare staffs ultimate decisions – examining differences and similarities between and within the service-oriented Nordic countries (Norway and Finland) and the risk-oriented Anglo-American countries (England and California). The study identifies a high degree of work pressure across all the countries, lines of predominantly vertical institutional support and relatively high confidence in decisions. Finland stands out with higher perceived work pressure and with a horizontal support line, whereas England stands out with workers having a lower degree of confidence in their own and others’ decisions

Adaptive Probability Theory: Human Biases as an Adaptation

Humans make mistakes in our decision-making and probability judgments. While the heuristics used for decision-making have been explained as adaptations that are both efficient and fast, the reasons why people deal with probabilities using the reported biases have not been clear. We will see that some of these biases can be understood as heuristics developed to explain a complex world when little information is available. That is, they approximate Bayesian inferences for situations more complex than the ones in laboratory experiments and in this sense might have appeared as an adaptation to those situations. When ideas as uncertainty and limited sample sizes are included in the problem, the correct probabilities are changed to values close to the observed behavior. These ideas will be used to explain the observed weight functions, the violations of coalescing and stochastic dominance reported in the literature

Spartan Daily, January 27, 2006

Volume 126, Issue 2https://scholarworks.sjsu.edu/spartandaily/10202/thumbnail.jp

Emerging prenatal genetic tests : developing a health technology assessment (HTA) framework for informed decision-making

Delphi Process In preparation for the first Delphi exercise, a list of questions was produced from the academic literature, webbased sources and interviews with experts. These questions were structured into broad dimensions and a draft questionnaire piloted. A final list of 73 questions formed the basis of the first Delphi survey. Participants were asked to grade the perceived importance of each question for inclusion in HTA reports on new prenatal genetic tests (4 = Essential; 3 = Desirable, but not essential; 2 = Useful but should not be required; 1 = Of little/ no importance; 0 = I have no basis for judgement). Secondly, they were asked to indicate whether a question should be addressed during test development or whether the question could be addressed later once the technology is ready for implementation. Finally, Panel members were encouraged to identify any other questions which appeared to be missing from the initial list. For copy of questionnaire, see Annex 1: Delphi Round 1 Questionnaire. Respondents were also asked to provide personal details to give some indication of their HTA experience and specialist expertise. Analysis of responses demonstrated that SAFE Delphi panel members represent a highly experienced, multidisciplinary international group of experts with the knowledge required to define which key questions should be addressed in HTA reports on new prenatal genetic tests. Delphi Responses Responses were received from 77/90 (86%) of Panel members. These were analysed with a cut-off of 75% (±3%) applied as an indicator of Panel consensus for all questions. Thus, any question which three out of four respondents rated as essential or desirable was retained, whilst those not achieving this level of agreement were provisionally excluded. In addition, mean scores were also calculated (excluding 0 = I have no basis for judgement) for each question. A mean score >3.25 ± 0.05 was taken as an indication that the Panel had identified a particular question as being of the highest priority to address in HTA