NZQA level 3 statistics AS91580 Time Series

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rinex 3.03格式说明

rinex 3.03格式说明

RINEX Version 3.03 ii
5.7 Signal strength .................................................................................................................................. 22 Table 12: Standardized S/N Indicators ............................................................................................... 22 5.8 Date/time format in the PGM / RUN BY / DATE header record ..................................................... 22 5.9 Antenna phase center header record ................................................................................................. 23 5.10 Antenna orientation ......................................................................................................................... 23 5.11 Observation data records................................................................................................................. 23 Table 13: Example Observation Type Records .................................................................................. 23 Table 14: Example Observation Data Records ................................................................................... 23 5.12 Ionosphere delay as pseudo-observables ........................................................................................ 24 Table 15: Ionosphere Pseudo-Observable Coding .............................................................................. 24 Table 16: Ionosphere Pseudo-Observable Corrections to Observations ............................................. 24 5.13 Channel numbers as pseudo-observables ........................................................................................ 24 5.14 Corrections of differential code biases (DCBs) .............................................................................. 25 5.15 Corrections of antenna phase center variations (PCVs) .................................................................. 25 5.16 Navigation message files ................................................................................................................ 25 Table 17: Example of Navigation File Satellite System and Number Definition Record .................. 25 Table 18: Example of Navigation File Header IONOSPHERIC CORR Record ................................ 25 6. ADDITIONAL HINTS AND TIPS ........................................................................................................ 26 6.1 Versions ............................................................................................................................................ 26 6.2 Leading blanks in CHARACTER fields ........................................................................................... 26 6.3 Variable-length records ..................................................................................................................... 26 6.4 Blank fields ....................................................................................................................................... 26 6.5 Order of the header records, order of data records............................................................................ 26 6.6 Missing items, duration of the validity of values .............................................................................. 27 6.7 Unknown / Undefined observation types and header records ........................................................... 27 6.8 Event flag records ............................................................................................................................. 27 6.9 Receiver clock offset......................................................................................................................... 27 6.10 Two-digit years ............................................................................................................................... 27 6.11 Fit interval (GPS navigation message file) ..................................................................................... 28 6.12 Satellite health (GPS navigation message file) ............................................................................... 28 Table 19: Description of GPS Satellite Health Field .......................................................................... 28 6.13 Transmission time of message (GPS navigation message file)..........................................5

ERA5资料在蓟州复杂地形下的检验与应用

ERA5资料在蓟州复杂地形下的检验与应用
第 44 卷 第 1 期
海 洋 气 象 学 报
JOURNAL OF MARINE METEOROLOGY
2024 年 2 月
Vol.44 No.1
Feb.ꎬ 2024
邹双泽ꎬ白爱娟ꎬ何科ꎬ等.ERA5 资料在蓟州复杂地形下的检验与应用[ J] .海洋气象学报ꎬ2024ꎬ44(1) :118 ̄128.
can reflect the change of weather and provide reference for analyzing strong convective potential.
Keywords Jizhouꎻ Daxing sounding stationꎻ ECMWF Reanalysis v5 ( ERA5 ) ꎻ aerial explorationꎻ
发展专项( CXFZ2022J012)
第一作者简介:邹双泽ꎬ女ꎬ硕士ꎬ工程师ꎬ主要从事灾害性天气监测预警研究ꎬ317973133@ qq.comꎮ
通信作者简介:白爱娟ꎬ女ꎬ博士ꎬ教授ꎬ主要从事天气动力学研究ꎬbaiaj@ cuit.edu.cnꎮ
第1期
邹双泽等:ERA5 资料在蓟州复杂地形下的检验与应用
难ꎮ 又如河南郑州“720” 特大暴雨[4-5] ꎬ造成全市
需要验证ꎮ
暴雨[1-3] ꎬ引发的城市内涝和山区泥石流造成 78 人遇
380 人因灾死亡或失踪ꎮ 在特定天气形势和环境条
得到广泛应用[16] ꎬ但在复杂地形区资料的可靠性仍
一方面ꎬ处于复杂地形的天津蓟州短时强降水
件下产生的强对流天气是短时临近预报的重难点ꎬ高
strong convective index
辨率高的优点ꎬ能够提供对流层各高度层的温度、湿

风云卫星数据和产品应用手册讲解

风云卫星数据和产品应用手册讲解

风云卫星数据和产品应用手册第1章概述1.1 FY-3A卫星概况风云三号A气象卫星(简称FY-3A)是我国的第二代太阳同步极轨气象卫星。

风云三号气象卫星将实现全球、全天候、多光谱、三维、定量对地观测。

风云三号星发射总质量为2450kg,发射尺寸:4.38m×2m×2m,卫星长期功耗1130W。

卫星本体由服务舱、推进舱与有效载荷舱组成。

服务舱采用中心承力筒和隔板结构,主要安装电源、测控、数管及姿轨控分系统的部件和设备、推进舱采用中心承筒和隔板结构,主要安装推进系统设备以及蓄电池组和放电调节器。

有效载荷舱隔板和构架结构,主要安装探测仪器的探测头部,舱内主要安装探测仪器的电子设备等。

风云三号A卫星有十一台遥感探测仪器。

遥感数据通过两个实时传输信道(HRPT和MPT)和一个延时传输信道(DPT)进行传输。

风云三号A卫星设计寿命为3年。

1.2 主要技术指标1.2.1 卫星轨道⑴轨道类型:近极地太阳同步轨道⑵轨道标称高度:831公里⑶轨道倾角:98.81°⑷入轨精度:半长轴偏差: |Δa|≤5公里轨道倾角偏差:|Δi|≤0.1°轨道偏心率≤0.003⑸标称轨道回归周期为5.79天⑹轨道保持偏心率:≤0.00013⑺交点地方时漂移:2年小于15分钟⑻卫星发射窗口:降交点地方时10:051.2.2 卫星姿态⑴姿态稳定方式:三轴稳定⑵三轴指向精度:≤0.3°⑶三轴测量精度:≤0.05°⑷三轴姿态稳定度:≤4×10-3 °/s1.2.3 太阳帆板对日定向跟踪1.2.4 星上记时⑴记时方式:J2000日计数和日毫秒计数⑵记时单位:1毫秒⑶时间精度(星地总精度):小于20毫秒1.2.5 遥感探测仪器性能指标1.2.5.1 可见光红外扫描辐射计(VIRR)(1)通道数、各通道波段范围、灵敏度见表1-1。

(2)空间分辨率:星下点分辨率1.1Km(3)扫描范围:±55.4°(4)扫描器转速:6线/秒(5)每条扫描线采样点数:2048(6)MTF≥0.3(7)通道配准:飞行方向/扫描方向星下点配准精度<0.5个像元(8)扫描抖动:<0.8个IFOV(9)通道信号衰减:<15%/2年(10)量化等级:10比特(11)定标精度:可见光和近红外通道:CH1、2、7、8、9 7%(反射率)CH6、10 10%(反射率)红外通道:1k(270k)。

micaps 数据格式

micaps 数据格式

A1.1 第一类数据格式: 地面全要素填图数据文件头:diamond 1 数据说明(字符串)年月日时次总站点数(均为整数)注:此类数据用于规范的地面填图数据:区站号(长整数)经度纬度拔海高度(均为浮点数)站点级别(整数)总云量风向风速海平面气压(或本站气压) 3小时变压过去天气1 过去天气 2 6小时降水低云状低云量低云高露点能见度现在天气温度中云状高云状标志1 标志2(均为整数) 24小时变温 24小时变压注:缺值时用9999表示,以后相同。

站点级别表示站点的放大级别,即只有当图象放大到该级别时此站才被填图。

以后相同。

当标志1为1,标志2为2时,说明后面有24小时变温变压。

否则说明后面没有24小时变温变压。

例子:diamond 1 99年06月15日08时地面填图99 06 15 08 301650468 127.45 50.25 166 16 7 340 6 9754 8 0.1 38 7 600 9.1 25.0 014.7 9999 9999 1 2 1 -352533 98.48 39.77 1478 1 8 0 0 98 7 8 0.0130 8 2500 10.7 30.0 60 16.8 27 9999 1 2 2 352652 100.43 38.93 1483 4 8 270 3 115 11 6 0.5 3 0 42500 12.6 15.0 61 16.0 24 17 1 21 2注意:地面自动站数据如果写为该类格式,可以在文件说明中加入可以识别的文字,默认使用“自动”作为识别文字,但自动站文件名定义可以使用8.3格式的“年月日时.000”或10.3的“年月日时分.000”格式,文件名定义规则主要用于时间变化曲线的显示。

不支持“月日时分.000”的文件命名格式。

A1.2 第二类数据格式: 高空全要素填图文件头:diamond 2 数据说明(字符串)年月日时次层次总站点数(均为整数)注:此类数据用于规范的高空填图数据:区站号(长整数)经度纬度拔海高度(均为浮点数)站点级别(整数)高度温度温度露点差风向风速(均为浮点数)例子:diamond 2 95年11月24日250Hpa高空填图95 11 24 20 250 34503496 1.68 52.68 14 1 1031 -56 8 220 3307145 2.02 48.77 168 1 1040 -56 9999 220 2061052 2.17 13.48 227 1 1093 -43 9999 290 1960680 5.52 22.78 1362 1 1070 -51 9999 255 3707180 6.22 48.68 217 1 1043 -57 9999 215 506610 6.95 46.82 491 1 1043 -56 13 80 7A1.3 第三类数据格式:通用填图和离散点等值线(注意:数据中一定不能有经纬度相同的站点,否则生成三角网时将出错)文件头:diamond 3 数据说明(字符串)年月日时次层次等值线条数(均为整数)等值线值1 等值线值2 平滑系数加粗线值(均为浮点数)剪切区域边缘线上的点数(整数)边缘线上各点的经度值1 纬度值1 经度值2 纬度值2 (均为浮点数)单站填图要素的个数总站点数(均为整数)注:1. 此类数据主要用于非规范的站点填图。

IAU2000岁差

IAU2000岁差

(Resolution B1.6). The model, designated IAU 2000A, includes a nutation series for a non-rigid Earth and corrections for the precession rates in longitude and obliquity. The model also specifies numerical values for the pole offsets at J2000.0 between the mean equatorial frame and the Geocentric Celestial Reference System (GCRS). In this paper, we discuss precession models consistent with IAU 2000A precession-nutation (i.e. MHB 2000, provided by Mathews et al. 2002) and we provide a range of expressions that implement them. The final precession model, designated P03, is a possible replacement for the precession component of IAU 2000A, offering improved dynamical consistency and a better basis for future improvement. As a preliminary step, we present our expressions for the currently used precession quantities ζA , θA , zA , in agreement with the MHB corrections to the precession rates, that appear in the IERS Conventions 2000. We then discuss a more sophisticated method for improving the precession model of the equator in order that it be compliant with the IAU 2000A model. In contrast to the first method, which isห้องสมุดไป่ตู้based on corrections to the t terms of the developments for the precession quantities in longitude and obliquity, this method also uses corrections to their higher degree terms. It is essential that this be used in conjunction with an improved model for the ecliptic precession, which is expected, given the known discrepancies in the IAU 1976 expressions, to contribute in a significant way to these higher degree terms. With this aim in view, we have developed new expressions for the motion of the ecliptic with respect to the fixed ecliptic using the developments from Simon et al. (1994) and Williams (1994) and with improved constants fitted to the most recent numerical planetary ephemerides. We have then used these new expressions for the ecliptic together with the MHB corrections to precession rates to solve the precession equations for providing new solution for the precession of the equator that is dynamically consistent and compliant with IAU 2000. A number of perturbing effects have first been removed from the MHB estimates in order to get the physical quantities needed in the equations as integration constants. The equations have then been solved in a similar way to Lieske et al. (1977) and Williams (1994), based on similar theoretical expressions for the contributions to precession rates, revised by using MHB values. Once improved expressions have been obtained for the precession of the ecliptic and the equator, we discuss the most suitable precession quantities to be considered in order to be based on the minimum number of variables and to be the best adapted to the most recent models and observations. Finally we provide developments for these quantities, denoted the P03 solution, including a revised Sidereal Time expression.

东北财经大学2013年硕士研究生复试名单

东北财经大学2013年硕士研究生复试名单
张英建 郝玉婷 邓倩 王庆莲 董晨宏 王礼成 吕少华 宁姗 尚凯 赵佳丽 顾媛媛 张静 任雅琪 丛璐璐 张昊 于长诰 郭新勇 白战艳 张越 樊健 索瑜 王越 任重秋 黄卓 唐铭泽 赵红 赵婷婷 朱红艳 张晓颖 王秋宜 郑佳佳 顾园明 丁伟 李栋 潘天驰 于尚云 邹华伟 张晓雪 朱倩雯 洪超 程方园 姜兆财 刘朝霞 王亚群 栗秀娟 王曙莹 姬丽 姜昱 樊世兴 毛闪闪 刘羿博 王丹丹 张阿娜
应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 应用统计硕士 税务硕士 税务硕士 税务硕士 税务硕士 税务硕士 税务硕士 税务硕士 国际商务硕士 国际商务硕士 国际商务硕士 国际商务硕士 国际商务硕士 国际商务硕士 国际商务硕士 国际商务硕士
110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164

柳钦火-地表温度


VNIR Band 1: 0.52 - 0.60, Band2: 0.63 - 0.69, Band 3: 0.76 - 0.86, Spatial resolution 15m MIR Band 4: 1.600 - 1.700, Band 5: 2.145 2.185, Band 6: 2.185 - 2.225, Band 7: 2.235 2.285, Band 8: 2.295 - 2.365, Band 9: 2.360 2.430, 30m TIR Band 10: 8.125 - 8.475, Band 11: 8.475 8.825, Band 12: 8.925 - 9.275, Band 13: 10.25 10.95, Band 14: 10.95 - 11.65, 90m Band 15: 0.76-0.86, backward viewing 6
NOAA-AVHRR
NOAA -- National Oceanic and Atmospheric Administration AVHRR-- advanced very high resolution radiometer
NOAA-14: ch1 – visible 0.58-0.68 µm Channel 2 – near infrared (NIR) 0.725-1.10 µm Channel 3 – middle infrared (MIR) 3.55-3.93 µm Channel 4 – thermal infrared 10.5-11.3 µm Channel 5 – thermal infrared 11.5-12.5 µm
4
Landsat 8
携带有两个主要载荷: OLI 和 TIRS ( Operational Land Imager ,运营性陆地成像仪 ,Thermal Infrared Sensor,热红外传感器),OLI传感器有9个光谱波段,与ETM+相比增加2个波段,波 段范围有所变化,其中尤以近红外和全色波段的波长范围变化最明显[2]。空间分辨率为15m(全 色波段)和30m(多光谱波段),成像幅宽为185km。 TIRS有2个热红外波段,空间分辨率为 100m[3]。

朗道质控和校准明细


IT3984 LE2661 LE2662 LE2663 LE2668 LE2669 LE2670 LE5013 LE5014 LE5015 LE5016 LE5017 LE5018 LIA3105 LIA3106 LIA3107 LIA3108 LO2306 LP3023 LP3404 LP3406 LP5047 LUE5049 LUE5071 LUE5095 LUL5069 LUL5093 LUN5048 LUN5070 LUN5094 MA1361 MA1567 MC1379 MC1380
高敏IgG质控品水平3 3ml脂类多项质控水平1 3ml脂类多项质控水平2 3ml脂类多项质控水平3 1ml脂类多项质控水平1 1ml脂类多项质控水平2 1ml脂类多项质控水平3 sLDL质控水平1 sLDL质控水平2 sLDL质控水平3 载脂蛋白质控水平1 载脂蛋白质控水平2 载脂蛋白质控水平3 液体免疫质控水平1 液体免疫质控水平2 液体免疫质控水平3 三水平液体免疫质控 抗“O ”校准品 载脂蛋白A1&B校准品 脂蛋白(a)校准品 脂蛋白(a)质控品 载脂蛋白校准品2 92项液体生化质控水平3 103项液体生化质控水平3 103项液体生化质控水平3 103项液体生化质控水平1 103项液体生化质控水平1 92项液体生化质控水平2 103项液体生化质控水平2 103项液体生化质控水平2 尿微量白蛋白质控水平1&2 尿微量白蛋白校准品 多种分析物定值质控水平1 多种分析物定值质控水平2
液体心肌质控水平2 液体心肌质控水平3 高敏肌钙蛋白T质控品 胱抑素C校准品 胱抑素C正常值质控 胱抑素C高值质控 大麻素校准品 迷幻药校准品 EDDP校准品 乙醇校准/质控品 多药物校准 多药物质控水平1 多药物质控水平2 EDDP质控水平1 EDDP质控水平2 迷幻药质控水平1 迷幻药质控水平2 大麻素质控水平1 大麻素质控水平2 苯并二氮校准品 苯并二氮质控水平1 苯并二氮质控水平2 氨/乙醇定值质控水平1 氨/乙醇定值质控水平2 氨/乙醇定值质控水平3 H-FABP校准品 H-FABP质控水平1 H-FABP质控水平2 糖化血清蛋白校准品 糖化血清蛋白质控水平1 糖化血清蛋白质控水平3 谷氨酰胺定值校准品 谷氨酰胺定值质控水平1 谷氨酰胺定值质控水平2

人大版应用时间序列分析(第5版)习题答案

第一章习题答案略第二章习题答案2.1答案:(1)不平稳,有典型线性趋势(2)1-6阶自相关系数如下(3)典型的具有单调趋势的时间序列样本自相关图2.2答案:(1)不平稳(2)延迟1-24阶自相关系数(3)自相关图呈现典型的长期趋势与周期并存的特征2.3答案:(1)1-24阶自相关系数(2)平稳序列(3)非白噪声序列2.4计算该序列各阶延迟的Q统计量及相应P值。

由于延迟1-12阶Q统计量的P值均显著大于0.05,所以该序列为纯随机序列。

2.5答案(1)绘制时序图与自相关图(2)序列时序图显示出典型的周期特征,该序列非平稳(3)该序列为非白噪声序列2.6答案(1)如果是进行平稳性图识别,该序列自相关图呈现一定的趋势序列特征,可以视为非平稳非白噪声序列。

如果通过adf检验进行序列平稳性识别,该序列带漂移项的0阶滞后P值小于0.05,可以视为平稳非白噪声序列(2)差分后序列为平稳非白噪声序列2.7答案(1)时序图和自相关图显示该序列有趋势特征,所以图识别为非平稳序列。

(2)单位根检验显示带漂移项0阶延迟的P值小于0.05,所以基于adf检验可以认为该序列平稳(3)如果使用adf检验结果,认为该序列平稳,则白噪声检验显示该序列为非白噪声序列如果使用图识别认为该序列非平稳,那么一阶差分后序列为平稳非白噪声序列2.8答案(1)时序图和自相关图都显示典型的趋势序列特征(2)单位根检验显示该序列可以认为是平稳序列(带漂移项一阶滞后P值小于0.05)(3)一阶差分后序列平稳第三章习题答案 3.10101()0110.7t E x φφ===--() 221112() 1.96110.7t Var x φ===--() 22213=0.70.49ρφ==()12122221110.490.7=0110.71ρρρφρρ-==-(4) 3.21111222211212(2)7=0.515111=0.30.515AR φφφρφφφρφρφφφ⎧⎧⎧=⎪=⎪⎪⎪--⇒⇒⎨⎨⎨⎪⎪⎪=+=+⎩⎩⎪⎩模型有:,2115φ=3.312012(1)(10.5)(10.3)0.80.15()01t t t t t tt B B x x x x E x εεφφφ----=⇔=-+==--,22121212()(1)(1)(1)10.15=(10.15)(10.80.15)(10.80.15)1.98t Var x φφφφφφ-=+--+-+--+++=()1122112312210.83=0.70110.150.80.70.150.410.80.410.150.70.22φρφρφρφρφρφρ==-+=+=⨯-==+=⨯-⨯=() 1112223340.70.15=0φρφφφ====-()3.41211110011AR c c c c c ⎧<-<<⎧⎪⇒⇒-<<⎨⎨<±<⎪⎩⎩() ()模型的平稳条件是 1121,21,2k k k c c k ρρρρ--⎧=⎪-⎨⎪=+≥⎩() 3.5证明:该序列的特征方程为:320c c λλλ--+=,解该特征方程得三个特征根:11λ=,2λ=3λ=无论c 取什么值,该方程都有一个特征根在单位圆上,所以该序列一定是非平稳序列。

应用时间序列分析——R软件陪同 第2版课件ATS2.PPT.03


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这个完全的对数似然函数称为精确对数似然 (exact log-likelihood), 右边 第一项称为条件对数似然 (conditional log-likelihood), 第二项称为边缘对 数似然 (marginal log-likelihood). 有两种最大似然估计 (mle). 使得条件 对数似然函数最大的参数估计称为条件最大似然估计 (conditional mles), 使得精确对数似然函数最大的参数估计称为精确最大似然估计 (exact mles). 对于平稳过程来说, 这两种估计是相合的而且有同样的极限正态 分布, 但对于有限样本来说, 如果过程接近非平稳或非可逆, 两种估计很 不一样. 在非正态情况, 最大似然估计的渐近分布与正态情况一样. 但最大似然 估计不易计算, 常常需要很好的初始值.
其他模型
吴喜之
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和其他统计数据分析类似, 时间序列分析的目的主要有 两个:
1 用模型来描述数据所代表的现象,
1Mahdi, E. and McLeod, A. I. (2012). Improved multivariate portmanteau test.
Journal of Time Series Analysis 33/2, 211-222 URL
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1 Bruce Tan Hamilton Boys High School The overall trend of NZ motels and accommodations Problems/Plans The accommodations, in various forms, have always been an important part of the NZ economy, it can be called with certainly the fastest emerging and becoming extremely powerful on international business arena. In order to better understand the future of the industry, we need to predict the guest nights of accommodations.

There is a recession started at 2007, which is called 2007 financial crisis1. It certainly has impact on the economic accommodation industry. As economy falled down, less people were in employment, thus households had less disposable income to spend on goods, consumption for accommodation decreases2. However, as the recession stops, more people are in employed, accommodation industries are expected to rise. As demand was low and supply was high during the recession, the price of accommodations drops3, the lower price of accommodations could act as a trigger to get the recession left.4

Another big event is the NZ World Rugby Cub, researchers have investigated a strong relationship between foreign visitors and accommodations Occupancy Rate.5 The world cup affect the accommodation consumption, that more tourists need to find a place to stay. With more revenue, the business confidence increases, the supplier are more likely to increase productivity and employ more workers, which can have a positive impact on the NZ economy.6

The purpose of this investigation is to see how those two events have an impact on the accommodation industry of New Zealand, and whether there is continuous effect on it.

Data The data of accommodations are from New Zealand Statistics website, the values are guest nights, equivalent to one guest spending one night at an establishment. For example, a motel with 15 guests spending two nights would report provision of 30 guest nights of accommodation.7

The response variable I choose is Motel Guest Nights, in guest nights, recorded quarterly over the whole year. In addition, I will compare the Motel Guest Nights and Motel Occupancy Rate, as well as the total accommodations overall.

Time Series Plot

1 http://en.wikipedia.org/wiki/Financial_crisis_of_2007%E2%80%9308

2 http://www.scribd.com/doc/18798142/Impact-of-Recession-on-Hotel-Industry

3 http://www.investopedia.com/university/economics/economics3.asp

4 http://www.stuff.co.nz/business/industries/economy/2582788/Cheap-accommodation-gets-recession-lift

5 https://www.boj.or.jp/en/research/wps_rev/rev_2013/data/rev13e04.pdf

6 http://economics.about.com/od/economics-basics/ss/The-Circular-Flow-Model.htm

77http://www.stats.govt.nz/browse_for_stats/industry_sectors/accommodation/AccommodationSurvey_HOTPDe

c11/Definitions.aspx 2 Bruce Tan Hamilton Boys High School Looking at the time series graph for Motel Guest Nights. On average, the overall trend of the total motel guests nights is increasing. It is increasing from 1.995 * 10^6 to 2.87 * 10^6 motel guest per night. The increasing amount of motel guest nights is not bad and looking at the data the motel guest nights increases until 2007 and then decreases until 2013. The total beer consumed increases at the rate of about 79636 motel guest nights from 1997 to 2007 in 11 years; and it decreases at a rate of about 21666 motel guest nights, from 2008 to 2013 in 6 years. The increasing rate (1997 to 2007) is comparatively higher than the decreasing rate (2008 to 2013), in addition, the drop at 2008 due to financial recession8 is probably due to financial recession. Thus less people are in employment, they have less disposable income to spend, thus less spending on the motel, as well as less car purchasing. However, the decreasing rate is smaller than the increasing rate, this means the recession does not cause a large damage to the industry.

There is a peak and at 2008 at about 2.87 * 10^6 motel guest nights, and then decreases to 2.7 * 10^6 motel guest nights in 2009. This sudden decrease is caused by recession started at 2008. This is due to the financial recession, as people have less disposable income to purchase cars and spend on motels.

This recession continues until 2010. Reaching it lowest point after financial recession at about 2.5 * 10^6 motel guest nights. After 2010, the motel guest nights start to increase steadily, but at the

8 http://en.wikipedia.org/wiki/Financial_crisis_of_2007%E2%80%9308

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