Components of time series
Name and elaborate the four components of time series in brief.
Expert
• TREND (SECULAR TREND):Time series data would normally show an upward or downward trend over a period of time. A trend is a longterm movement in time series. They are generally gradual increases or decreases over a period of time and an example of an upward trend would be price increases over the years, and a downward trend would be decrease in sales over the years. The increase or decrease is fairly gradual and thus a smooth curve or straight line curve generally depicts the trend.
• CYCLICAL VARIATIONS (C):These variations are not regular as seasonal variation, they are medium to long term deviations from the trend. Cyclical variations are recurrent upward or downward movements in a time series but the period of cycle is greater than a year. There are different cycles of varying in length and size. A business cycle is one of the most common forms and passes through stages.
• SEASONAL VARIATIONS (S):Seasonal variations are fluctuations that are repeated periodically, they are short term fluctuations and occur periodically within a year. Major factors causing this repetition are weather conditions and customs of people.• RANDOM (IRREGULAR) VARIATION (R):
These are fluctuations in time series that are short in duration, unpredictable occurrences that are erratic in nature and follow no regular pattern. They result due to unforeseen events such as droughts, strikes etc.
A nurse practitioner working in a dermatology clinic is studying the efficacy of tretinoin in treating women’s post partum abdominal stretch marks. From a sample of 15 women, the mean reduction of stretch mark score is -0.33 with a sample standard deviation of 2.46. Describe what happens to the c
1) A Discrete random variable can be described as Binomial distribution if is satisfies four conditions, Briefly discuss each of these conditions2) A student does not study for a multiple choice examination and decides to guess the correct answers, If the
Activity 10: MANOVA and Reflection 4Comparison of Multiple Outcome Variables This activity introduces you to a very common technique - MANOVA. MANOVA is simply an extension of an ANOVA and allows for the comparison of multiple outcome variables (again, a very common situation in research a
A manufacturing facility consists of five departments, 1, 2, 3, 4, and 5. It produces four components having manufacturing product routings and production volumes indicated below. 1. Generate the from-to matrix and the interaction matrix. Use a
You must use the pre-formatted cover sheet when you hand in the assignment. Out full detailed solutions. Sloppy work will naturally receive a lower score. 1. Suppose at each step, a particle moving on sites labelled by integer has three choices: move one site to the right with pro
Hi I WOULD LIKE TO KNOW IF YOU CAN HELP ME TO DO THE ASSIGNMENT IN HEALTH STATISTICS THANKS
Cards are randomly drawn one at the time and with replacement from a standard deck of 52 playing cards. (a) Find the probability of getting the fourth spades on the 10th draw. (b) Determine the
The design of instrument controls affects how easily people can use them. An investigator used 25 students who were right-handed to determine whether right-handed subjects preferred right-handed threaded knobs. He had two machines that differed only in that one had a
A sample of 9 days over the past six months showed that a clinic treated the following numbers of patients: 24, 26, 21, 17, 16, 23, 27, 18, and 25. If the number of patients seen per day is normally distributed, would an analysis of these sample data provide evid
File is attached, need it by 8:30 AM Pacific (Seattle, WA) time. No delay acceptable. Need it March 25, 2014 on 8:30 AM Pacific time.
18,76,764
1928642 Asked
3,689
Active Tutors
1443198
Questions Answered
Start Excelling in your courses, Ask an Expert and get answers for your homework and assignments!!