 थी आप बढुवर्ठे कि बढ़ायी टीएस तोग़ने प्योट रन्टम लाग प्रोचुस के खिज़ वाग के अप आप की वो than we have discussed about a pure random wag process. अपकी सीरिज जोहे वेप रेन्दिभ वाग होगी, उस में द्विफ्त नहीं होगी उस में देटर्मिनिस्तिक त्रैन्द नहीं होगा उस में यह स्झरफ फर सरफ रेन्दिब वाग के अपकी प्रण्वेश्ब वेलिएः प्रवियस पे दिपशः का रही होती है आपझा पह से थ Gebh все mein ka puri al pa kahaortshker तुछ मेह size favors तुछ मे शें� か Naar mat? असकोईakt pesh तुछ वो आप यही दीएखे की al base तुछ मेहंझा तुछ और बहुर्ड maneira आप यहांग्वागे न दीख गे But Amd उज़़ उठे सब परज अूगड़ dom च Kris उग्oll फोपबीम स्रहा था कईका, Warum? आ показा ईका मेग NSE और स्तोख वोअ, Rosen, तो आख आप के आपुध आप से आप मुर्प करता जारें थो अगर आपके आप, this is comprehensive model and if beta 1 is not equal to 0 आप आप आप आप आप आप आप आप आप आप आप आप आप आप, it means there is some value of beta 1 and there is drift.哈. And beta mu is equal to 0 it means there is no deterministic 10 to value hai yo haap ka with passage of time change nahi hoindi. It's make specific impressive trend nahi hai and beta three is equal to 1 it means haap ka jo random walk hi vent wo exists karta hai two, mat random work hi. Howun window walk hi again whee condition if the value of beta 3 is less than 1 then the series is stationary if its value is 1 it means there is a unit root and unit root means the series is non-stationary and when the series is non-stationary then how to make it stationary there is a very much simple procedure but before moving toward the procedure of making the non-stationary series into stationary or how to remove the unit root from the series so that we have a random number and an efficient series for which we have beta 1 is not equal to 0 beta 2 is equal to 0 and beta 3 is equal to 1 so we have the resultant equation this is yt is equal to beta 1 plus beta 2 is 0 everything is 0 then y3 is equal to 1 so when 1 is equal to 1 then it means your series is non-stationary if you have its value less than 1 then the series is stationary if value is equal to 1 then there is a unit root and consider that the series is non-stationary you have to convert it into stationary what is the procedure how can we efficiently do it in presence of constant or without like your constant there are two sorts of random work sometime there is constant and sometime there is no constant