南通某品牌啤酒销售预测分析

根据对近5年南通某品牌啤酒每月销售量资料的整理,利用趋势预测分析和自回归预测分析方法,预测了第六年啤酒销售量,并对两种预测进行了比较分析。     

回归分析预测在铁路客运量预测中的运用

本文介绍了回归分析预测,并运用于铁路客运量预测。通过SPSS软件相关系数和偏相关系数分析,确定铁路旅客周转量与铁路客运量存在线性关系,建立一元线性回归模型。预测了1996—2007年的铁路客运量。预测结果显示该方法是一种可行的铁路客运量预测方法。     

私人小型汽车保有量的预测与对比分析

汽车保有量的科学预测,对市场预测、配套设施建设以及相关市场的发展和政策制定都有着重要的参考价值。本文对两个省的私人小型汽车保有量增长趋势通过建立多元线性回归模型进行预测对比分析,客观、动态地反映未来两省汽车保有量的增长趋势,对汽车行业的市场分析和相关政策的出台具有一定的参考价值。     

需水量预测方法的择优研究

通过对各种需水量预测方法深入分析和横向比较,得出各种预测方法的利弊,并探讨具体情况下预测方法的择优问题。     

京津冀人口老龄化趋势预测与探讨

笔者以京津冀区域整体为研究对象,从《中国统计年鉴》中选取2006年～2013年相关因素建立回归模型探讨对人口老龄化问题的影响程度,并构建灰色模型预测京津冀整体区域未来十年65岁以上的人口比,通过分析得出京津冀地区在未来1年～5年将继续享受人口红利,为京津冀协同发展创造巨大优势空间,并探讨老龄化状态下京津冀协同发展值得注意的问题.     

天津房地产业2018年发展状况及2019年趋势预测

笔者从天津房地产业发展指标体系出发,对2018年及以前年份反映天津房地产业发展状况的5大类一级指标、 16个二级指标进行了纵向比较分析,并对2019年各项指标运行情况进行了趋势预测。笔者根据分析所得出的结论显示, 2018年是房地产市场较为平稳的一年,住宅开发投资完成额、房屋施工面积、房屋新开工面积和房屋竣工面积等都有不同程度增长,商品房销售面积虽有大幅度下滑但销售均价稳中略增。在不实施房地产持有税等利空政策前提下, 2019年天津房地产市场依然会是趋稳的一年。     

天津跨境电子商务发展形势及趋势预测

跨境电子商务的发展极大地促进了我国的进出口贸易,也为各区域发展跨境电子商务搭建了良好的平台.国家政策措施、地方经济环境以及电子商务发展基础都为天津的跨境电子商务创造了良好的机遇.但是,天津在跨境电子商务发展过程中也面临着由激烈的竞争带来的挑战.未来,天津跨境电子商务将在利益主体格局、零售出口产业品类、数据营销及中小卖家的行业地位等方面展现出新的趋势.     

供给侧结构性改革与中国经济增长趋势预测

随着供给侧结构性改革的推进,中国资源要素供给效率和供给质量将明显上升,经济结构将进一步优化,制度创新将进一步释放经济增长活力,中国经济增长潜力将转化为实际经济增长.基于中国经济增长潜力的释放,对中国未来经济增长趋势进行预测,从现在到2050年,中国长周期经济增长将逐步趋缓,并向世界平均经济增速收敛,到2050年可能回归至3％～4％的增速水平.     

试论用多元线性回归法预测城市需水量

介绍多元线性回归分析的概述、理论与模型、某市供水现状,该市自来水公司供水量预测用多元线性回归模型的建立与检验。     

2015年天津宏观经济形势分析预测

近来,天津宏观经济及国内外经济环境均发生显著变化,天津宏观经济运行全面进入新常态.那么,天津宏观经济减速的主要原因是什么?2015年宏观经济增长前景如何?如何顶住现实下行压力,稳抓五大战略叠加历史机遇,实现天津结构调整与经济起飞的新突破,是当前急需回答和解决的问题.     

The effect of student residence on food choice

This study assessed the effect of student residence on food choices and dietary practices of students enrolled in an undergraduate nutrition class at Washington State University. We compared food consumption patterns of students living on campus, off campus, and in Greek housing. We also identified differences between men and women in food consumption and dietary practices. The results suggested that students' residence and sex may influence food choice and dietary practices. Significant differences in food choice related to students' residence were found for 8 of the 27 variables included on a food frequency list. Differences in the consumption of fresh fruits and vegetables, beer, fish, unsweetened cereal, white bread, and cookies were identified. In addition, students who lived in Greek housing were found to skip meals less frequently than other students, and men were found to consume significantly more beer, sugar-sweetened soft drinks, meat, and white bread than women students. Men were also more accurate in their perception of their body weight.     

Thinking about difference in student supervision

Abstract

Over the past decade, educators have given greater recognition to the influence of race and culture on practice and policy. Whilst educators are now including specific courses that take account of diversity, scant attention has been paid to how these issues may be addressed in student supervision. This article reports on a qualitative study examining how three experienced supervisors addressed difference in student supervision. Supervisory approaches were compared examining the supervisors' goals, focus, supervisory strategies, theoretical orientation, contribution made to student learning and the limitation of their particular approach. These findings emphasise the complexity of addressing difference in supervision, and suggest that some additional issues to address in supervision.     

Quality improvement in patient distribution at a major university student health center

Healthcare in a major university setting poses unusual challenges and great opportunities. Two traditionally challenging areas in patient distribution are the initial intake of allergy/immunization patients and the triage of outpatients in the general medical clinic. The authors describe the use of the FOCUS-PDCA quality improvement (QI) problem-solving process for each situation. After identifying major problems, the health center established cross-functional teams of experts representing the allergy/immunization and general medical clinics. The teams analyzed the problems with a flow chart and undertook studies to further elucidate causes and potential solutions. They listed potential solutions in order of priority and submitted them to the student health center director for review and initiation. Each team then used the PDCA (plan-do-check-act) cycle to put approved solutions into effect. Permanent improvements made in each area resulted in a more effective and efficient patient distribution system, favorable staff comment, and greater patient satisfaction.