TV reitingu prognozēšana
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Latvijas Universitāte
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Abstract
Diplomdarbā „TV reitingu prognozēšana” ir apskatīta televīzijas kanāla LNT vienas laika joslas reitingu prognozēšana vienam solim uz priekšu. Ir aplūkotas divas prognozēšanas metodes un salīdzināti iegūtie rezultāti. Viena no tām izmanto ARIMA modeli, bet otra izmanto eksponenciālo nogludināšanu laikrindai ar sezonalitāti. Darbs sastāv no ievada, septiņām nodaļām, rezultātiem, secinājumiem un diviem pielikumiem. Rezultātu iegūšanai ir izmantota statistikas programmpakete SPSS.
A one-step ahead forecast of one time zone ratings of television channel LNT is examined in diploma work “Forecasting of TV ratings”. Two forecasting methods are discussed and compared the obtained results. One of these methods uses ARIMA model, but the other uses seasonal exponential smoothing. The diploma work consists of introduction, seven sections, results, conclusions and two appendixes. A Statistical computer program SPSS is used to obtain the results.
A one-step ahead forecast of one time zone ratings of television channel LNT is examined in diploma work “Forecasting of TV ratings”. Two forecasting methods are discussed and compared the obtained results. One of these methods uses ARIMA model, but the other uses seasonal exponential smoothing. The diploma work consists of introduction, seven sections, results, conclusions and two appendixes. A Statistical computer program SPSS is used to obtain the results.