.pf{position:relative;background-color:#fff;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.bi{position:absolute;border:0;margin:0}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}.pi{display:none}@media screen{.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}}.ff1{font-family:ff1;line-height:.938965;font-style:normal;font-weight:400;visibility:visible}@font-face{font-family:ff2;src:url(data:application/font-woff;base64,d09GRgABAAAAAAkMAA8AAAAADcwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcVSLDSEdERUYAAAF0AAAAHAAAAB4AJwAMT1MvMgAAAZAAAABFAAAAYGDJVhNjbWFwAAAB2AAAAEYAAAFKv/Ym/mN2dCAAAAIgAAAAdwAAAQQhiSeEZnBnbQAAApgAAAMgAAAFdd2JpapnbHlmAAAFuAAAAJQAAACcVj1x0WhlYWQAAAZMAAAAMQAAADYXDTZaaGhlYQAABoAAAAAbAAAAJAjWBAdobXR4AAAGnAAAABgAAAAYCZgAxGxvY2EAAAa0AAAADgAAAA4ApgCEbWF4cAAABsQAAAAgAAAAIAGxAHhuYW1lAAAG5AAAAOsAAAG56zV6GHBvc3QAAAfQAAAAMAAAAD9jLOukcHJlcAAACAAAAAEJAAABL4la0voAAAABAAAAANgScoUAAAAAscFltwAAAADLTusLeJxjYGRgYOABYjEgZmJgBEJWIGYB8xgAA9UANHicY2BhYGKcwMDKwMBqzDqTgYFRDkIzX2dIYxJiYGBiYGVmgAFGAQYECEhzTWFoYFB4wMgaCuJDSAZGJCUKDIwAm5IHjQAAAHicY2BgYGaAYBkGRgYQcAHyGMF8FgYNIM0GpBkZmBgUHjD+/w/kg+n/jxWYoeqBgJGNAc5hZAISTAyogBFixXAGALIlCNYAAHicY37B/ImB4f8bhgVAeIJhBUMNEFeARZr+bwCKZLAcY63718WQ8bOBIYXpA9MDZpN/jxgCGB8wDCrA6sEaAHT1DYaFDIsYWhheAP2wgeE/WKST4SL7IyDJwHyZ+fW/UoYUlnigihUMcxlWMN1icGEVBACnBisxAHicfVTNbttGEF6K/lHtGmUCpxDAQ5adULBhKQpgJ3EdNWVMLiNXcWLFCbA0clgqkiHffMohJ98KrJN3GSUXtae8QN/Bhx7jo8/OLEkJlpFWWlDz883MNzNLBVudvRfPd5+1/9hpPY1FFG4/CX5//Fvz0davmw8f3G/crddWqv4d+OV2ZfmG89PS4sIP5fm52Rm7ZLGagFhxrCqcqUKrVTc6pGRIrxgUcjLF0xjkKoPxaWRAyMNryCBHBhOk5fAma9ZrXADHfyLgI+ugI0n+GEHC8TyTdzN5ppopS6R4HkVwURlEHC3FBcbvBlqoiPINFxdCCPsL9RobLiySuEgSrsDx0Fp5bGVCaUVsDUusvGTKou2LtId7HSki1/OSzMbCLBfOhTif5eJHhjM75cPaF/1h5LCuWvuxB730jUQ7pSBtC63/xBtruAoRrr7/t0It97EGkcA1oGTtl5MCFs76DnB9wYg8nH+dtqSFZc53LpgRTYuTMZF/LDPiRgypP88zXE5HAeuSgicdmeucdd1PLGisJVhSxvNl7Ln12nhOxp5JuALPrEqo4rwbVPCky+s1mn52fDrk52hXVfftwPymfQ1RlM/tlcQgIiFIi17F8F6D8KmiJo7MGDoSG3CMy7CdA8jAzQ6O9mUWUoThcohMvS2isCEiw4sLraKcoMkFHfkXW788G25w9/M622CJ4YE/h7SUqtCyd4i3lduj+3nIpethkND4EpD9xGwJHFw9o3JeVjGLot6uocdg0/m8X+ay5NqJ2RYZeEwP2G6Sw6F1ZarZ6HaTS8tlYxhVKRBGmspDiu2HLeOyTWjYcr3Eyz//Q8ktOM36WL6SyyHDhFNe5z+p5WhDaJWLfnSF4FTS2YJgke37PEtmFkVhiiibdbbGLtunN5dsJUqTmcwWKxzZHpfQhwToDgV70vRmZp3tt70P7c6BzLZd3JJXU1ru35z4Cmn85boM7X1tMFC4GNc7yOjyBfSabd7cyK0x/U9pHQOPtdLp6PKkC9wBPWy39bFQhqSkgY8u/z51Mf6QoKMG1pbJDzs9DfuySWOofwNGsICdeJw1zL8NAiEcxfEHPzhibKQzVpJo6/mnJTkLVrgNLByD28IdrGAPNjDW17iAOYlgYvfyeckXHA7gF9mDoLALDK2NSvjXMTTyYSPxMhGosqwcVTNMNrLqJ2301mjj+Dpv2C1fZf++O5FQkvAAeRp/3dV5LmkmoBhEubrUJdamxTMd9v+GJ3w8RwaN09LzEfgC2M4nunicY2BkYGBgfZZmf7ekNJ7f5iuDPAcDCNziZLoIp10YGJgbWEOBXA4GJpAoAEKhCbUAAAB4nGNgZGBgDWUAAhYQwcDcwMDIgArYABVtAOoAAuwARAAAAAACqgAAAAIAAAAAAAAEAACAAAAALAAsACwALAAsAE4AAAABAAAABgAIAAIAAAAAAAIAEABAAFIAAAFGAC4AAAAAeJyNjj9OwzAUh7+0aREqYgRGD0hMqWKLhYo5IwNKu1eqFUWKEslNb8HMSTgGB+AcXAB+bj0wMNTWs7/33u/9Aa54JyOejAV3iSdc8Jh4ygNviXNpPhPPVPudeM4iu5Uyyy8VuTlWRZ5wzX3iKS88J86l+Ug809SvxHPFf1jTM9LKOjw7at0K1v3Yjp3f1bWcV2UaDlJsCXJ9c+i2gorhWB3/IIXH4FhS6l/J/u99ylkKmdPrpLc8qd3Qj9UQGm/csjQr82cHebawrnCllfCcnTfKBPZSxR3jvNNebHzYt0NvrGac1eoXorREeQB4nGNgYgCDPy8YEhiwATYgZmRgYmBmZGJkZi/Ny3Q1MDDk8EvMTfVN1TMAAKecBxx4nE2KPUvDUBSG73ubKrV+9QOaWsvptdAlwwVdHUo63qW2FRK7OESoU5VAzVDFpRAEpT8hP+HEKf47E7v4wsvz8pwzDCtWk06sHh1ZNu1bip4XLXpdK3pcKErekKyRLLBXHlDZGtCxbFBJKtIST0tFh9V8LqGrqIkmvawUtewr0hH0GXQbegVto9APgSKI/DmAFkilcL9bNcQ9vrj56Ec8nETpQS/OTsVtlEq4XDpXClw3wsxcbiDn1GU58oTh64nhynjupcCX3zEZtv+FzzLOIGZsxZnMUR/dzb0M7eK46fwIQLC533z6PO5yYKYev3d9vizGtuuLMHQcJyzyx7zOTji7/ALIBk13AAAA) format("woff")}.ff2{font-family:ff2;line-height:.666504;font-style:normal;font-weight:400;visibility:visible}.ff3{font-family:ff3;line-height:.938477;font-style:normal;font-weight:400;visibility:visible}.m0{transform:matrix(.320260,0,0,.320260,0,0);-ms-transform:matrix(.320260,0,0,.320260,0,0);-webkit-transform:matrix(.320260,0,0,.320260,0,0)}.ls1{letter-spacing:0}.ls0{letter-spacing:45.4788px}.sc0{text-shadow:-.015em 0 transparent,0 .015em transparent,.015em 0 transparent,0 -.015em transparent}@media screen and (-webkit-min-device-pixel-ratio:0){.sc0{-webkit-text-stroke:.015em transparent;text-shadow:none}}.ws1{word-spacing:-12.237936px}.ws0{word-spacing:-.044021px}.ws2{word-spacing:0}._1{width:35.353635px}._0{width:45.478898px}.fc1{color:transparent}.fc0{color:#000}.fs0{font-size:44.021351px}.y21{bottom:-373.251505px}.y20{bottom:-348.247708px}.y1f{bottom:-323.24391px}.y1e{bottom:-298.240113px}.y1d{bottom:-273.236315px}.y1c{bottom:-248.232517px}.y1b{bottom:-223.22872px}.y1a{bottom:-198.224922px}.y19{bottom:-173.221125px}.y18{bottom:-148.217327px}.y17{bottom:-123.21353px}.y16{bottom:-98.209732px}.y15{bottom:-73.205935px}.y14{bottom:-48.202137px}.y13{bottom:-23.19834px}.y0{bottom:0}.y12{bottom:1.805458px}.y11{bottom:26.809255px}.y10{bottom:51.813053px}.yf{bottom:76.81685px}.ye{bottom:101.820648px}.yd{bottom:126.824445px}.yc{bottom:151.828243px}.yb{bottom:176.832041px}.ya{bottom:201.835838px}.y9{bottom:226.839636px}.y8{bottom:251.843433px}.y7{bottom:276.847231px}.y6{bottom:301.851028px}.y5{bottom:326.854826px}.y4{bottom:351.858623px}.y3{bottom:376.862421px}.y2{bottom:401.866218px}.y1{bottom:507.293741px}.h3{height:32.070242px}.h2{height:507.295022px}.h1{height:1014.58492px}.h0{height:1014.588763px}.w1{width:783.997438px}.w0{width:784px}.x0{left:0}.x2{left:115.034397px}.x3{left:161.195254px}.x5{left:184.275683px}.x4{left:207.355727px}.x7{left:230.436412px}.x1{left:253.516968px}.x6{left:276.597397px}

MGMT 153 Study Guide - Midterm Guide: Time Series, Exponential Smoothing

United States

Integrated Marketing Communication

Management

Bradford

University of California - Irvine

AIDS Fundamentals

Drugs and the Brain

Mind, Memory, Amnesia, and the Brain

Humanities Core Lecture

Single-Variable Calculus

Managing Organizational Behavior

Business Communication

Introduction to Marketing

Principles of Accounting I

Management Science

Special Topics in Management

Principles of Accounting II

Statistics for Business Decision Making

Decision Analysis

African American Politics

Introduction to Race and Ethnicity in Political Science

Introduction to Psychology

Introduction to Business and Management

Basic Economics for Managers I

Basic Economics for Managers II

Stem Cells and Brain Repair

Stress

OMIS 2010 Lecture Notes - Lecture 5: Dependent And Independent Variables, Time Series, Exponential Smoothing

ADM 3301 Lecture Notes - Lecture 3: Time Series, Exponential Smoothing, Forecast Error

OPER1021 Lecture Notes - Lecture 8: Moving Average, Delphi Method, Exponential Smoothing

MGMT 153 Study Guide - Midterm Guide: Time Series, Exponential Smoothing

Get access

Related Documents

OMIS 2010 Lecture Notes - Lecture 5: Dependent And Independent Variables, Time Series, Exponential Smoothing

ADM 3301 Lecture Notes - Lecture 3: Time Series, Exponential Smoothing, Forecast Error

OPER1021 Lecture Notes - Lecture 8: Moving Average, Delphi Method, Exponential Smoothing