ClassicQuants
ClassicQuants
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6. Probability & Distributions - Part 2 I #poisson_distribution | #business #statistics
Probability & Distributions - Part 2 I #poisson_distribution | #business #statistics #management #statistics #probability
In this video, I have explained the theory and underlying story behind Poisson distribution, its PMF and CDF, and then explained the calculations using a spreadsheet. I have also compared Binomial and Poisson distribution and shown, with calculations, when and how we can use binomial distribution to compute Poisson probabilities.
Other playlists in this channel:
Optimization using Excel (ua-cam.com/play/PLmP64hoCcu5GQhUTuv6Cgr5QE083DY2wQ.html)
Business Forecasting (ua-cam.com/play/PLmP64hoCcu5GxPm6vbgQ5hlz3vvyhnHFL.html)
Simulation (ua-cam.com/play/PLmP64hoCcu5F79Ik2z197n2T7vzR4hD9y.html)
Переглядів: 29

Відео

5. Probability & Distributions - Part 1 I #binomial_distribution | #business #statistics
Переглядів 496 місяців тому
Probability & Distributions - Part 1 I #binomial_distribution | #business #statistics #management #statistics #probability In this video, I have started defining fundamentals of probability very briefly from where I moved quickly to distributions. I have defined and explained the and continuous distributions and shifted by attention to discrete distribution - more specifically the binomial dist...
4. Descriptive Statistics - Part 3 I Business Statistics | #statistics #management #business
Переглядів 187 місяців тому
Descriptive Statistics - Part 3 I Business Statistics | #statistics #management #business In this video, I have covered descriptive statistics percentile, quartile, box plots, scatter diagram, and time series plots. At the end, I have presented the tools and charts in descriptive statistics to be used under various contexts/ questions to be answered. Link for the data used: www.google.com/url?s...
3. Descriptive Statistics - Part 2 I Business Statistics | #statistics #management #business
Переглядів 337 місяців тому
Descriptive Statistics - Part 2 I Business Statistics | #statistics #management #business In this video, I have covered descriptive statistics report reading, histogram, and dot plot using Minitab 19. Link for the data used: www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwih6cqkwauFAxXr9zgGHSAEDocQFnoECBUQAQ&url=http://jse.amstat.org/v19n1/cafedata.xls&usg=AOvVa...
2. Descriptive Statistics - Part 1 I Business Statistics | #statistics #management #business
Переглядів 267 місяців тому
Descriptive Statistics - Part 1 I Business Statistics | #statistics #management #business In this video, I have introduced the basic concepts of descriptive statistics. This is the foundational knowledge required for computing descriptive statistics using Excel or Minitab at a later stage. The concepts discussed are as follows: Population Sample Parameters Statistic Central tendency Dispersion ...
1. Introduction I Business Statistics | #analytics #statistics #management #business #msexcel
Переглядів 1267 місяців тому
Introduction I Business Statistics | #analytics #statistics #management #business #msexcel This is a brand new lecture series where I have started to explain the concepts and applications of business statistics. This is the first video which is just an introduction video. In this video, I have discussed the plan to move forward. In the last two slides, I have tried to explain what does a statis...
5. Triangular and Exponential Distributions | Simulation using Excel #simulation #msexcel #analytics
Переглядів 1008 місяців тому
Simulating Triangular and Exponential Distributions | Simulation using Excel #msexcel #analytics This is the fifth and final video of the 'Simulation' video series. Here, we have shown the process of developing inverse functions for Exponential and Triangular distribution for no direct inverse function is given with Ecel's native functionality. For Exponential distribution, we have shown two me...
4. Simulating Discrete Distributions | Simulation using Excel #simulation #msexcel #analytics
Переглядів 1218 місяців тому
Simulating Discrete Distributions | Simulation using Excel #simulation #msexcel #analytics This is the fourth video of the 'Simulation' video series. Here, we have shown the process of building a simulation model when the underlying distribution is Discrete in nature. In a discrete distribution, specific number of outcomes have specific probability and no other outcome is possible except for th...
3. Profit Model using Data Table | Simulation using Excel #simulation #msexcel #analytics #business
Переглядів 1409 місяців тому
Profit Model using Data Table | Simulation using Excel #simulation #msexcel #analytics #business This is the third video of the 'Simulation' video series. Here, we have again developed the basic profit model as we did in the second video of this series - the only difference being, we used the data table functionality of Excel to develop the model. We have explained the benefits of using data ta...
2. Simulating the Profit Model | Simulation using MS Excel #simulation #msexcel #analytics #business
Переглядів 1569 місяців тому
Simulating the Profit Model | Simulation using MS Excel #simulation #msexcel #analytics #business This is the second video of the 'Simulation' video series. Here, we have developed the most basic simulation model using the total profit equation that we elaborated on in the previous video. The total profit equation is written as TP = (s - v)*Q - F where s, v, Q, and F are selling price, unit var...
1. Introduction to Simulation | Simulation using MS Excel #simulation #msexcel #analytics #business
Переглядів 28510 місяців тому
Introduction to Simulation | Simulation using MS Excel #simulation #msexcel #analytics #business This is the first video of the 'Simulation' video series. Here, we have introduced the idea of computer simulation - the reason and the advantages of it. A simulation imitates the operation of real-world processes or systems with the use of models. The model represents the key behaviors and characte...
Forecasting Promo | Business forecasting #demand #forecast #qualitative #quantitative
Переглядів 3,2 тис.Рік тому
#demand #forecast #qualitative #quantitative This is the promo video for the Business Forecasting series The previous module: Optimization using Excel: ua-cam.com/play/PLmP64hoCcu5GQhUTuv6Cgr5QE083DY2wQ.html HBR Article "Six Rules for Effective Forecasting" by Paul Saffo: hbr.org/2007/07/six-rules-for-effective-forecasting What is qualitative and quantitative forecasting? Quantitative forecasti...
9. Dividend Discount Model (DDM) | Security Analysis for Investments #finance #investing #valuation
Переглядів 113Рік тому
Dividend Discount Model (DDM) | Security Analysis for Investments #finance #investing #valuation #fdff #dcf In this video, we'll be discussing the security analysis for an investment with a DDM (Dividend Discount Model). We'll go over the different factors that need to be taken into account when undertaking a security analysis, as well as the important financial ratios that need to be evaluated...
8. Free Cash Flow to Firm (FCFF) | Security Analysis for Investments #finance #fdff #dcf #valuation
Переглядів 130Рік тому
Free Cash Flow to Firm (FCFF) | Security Analysis for Investments #finance #fdff #dcf #valuation Free Cash Flow to Equity (FCFE)|Security Analysis for Investments #finance #accounting #tatasteel #fcfe #dcf #wacc #discountedcashflow #investing In this video, we'll be discussing the security analysis for an investment with a FCFF (Free Cash Flow to Firm). We'll go over the different factors that ...
7. Free Cash Flow to Equity (FCFE) - PART-2 | Security Analysis for Investments #finance #tatasteel
Переглядів 175Рік тому
Free Cash Flow to Equity (FCFE)|Security Analysis for Investments #finance #accounting #tatasteel #fcfe #dcf #wacc #discountedcashflow #investing In this video, we'll be discussing the security analysis for an investment with a FCFE (Free Cash Flow to Equity). We'll go over the different factors that need to be taken into account when undertaking a security analysis, as well as the important fi...
6. Free Cash Flow to Equity (FCFE) - PART-1|Security Analysis for Investments #finance #tatasteel
Переглядів 289Рік тому
6. Free Cash Flow to Equity (FCFE) - PART-1|Security Analysis for Investments #finance #tatasteel
5. Calculate WACC for Tata Steel | Security Analysis for Investments #finance #valuation #wacc
Переглядів 2,2 тис.Рік тому
5. Calculate WACC for Tata Steel | Security Analysis for Investments #finance #valuation #wacc
4. Weighted Average Cost of Capital (WACC) | Security Analysis for Investment
Переглядів 160Рік тому
4. Weighted Average Cost of Capital (WACC) | Security Analysis for Investment
3. How to Calculate Cost of Equity using CAPM | Security Analysis for Investments
Переглядів 371Рік тому
3. How to Calculate Cost of Equity using CAPM | Security Analysis for Investments
2. What is β? - An Overview of Market Risk and Firm-Specific Risk | Security Analysis for Investment
Переглядів 196Рік тому
2. What is β? - An Overview of Market Risk and Firm-Specific Risk | Security Analysis for Investment
1. Introduction to Valuation | Security Analysis for Investments | Basic finance; Personal Finance
Переглядів 255Рік тому
1. Introduction to Valuation | Security Analysis for Investments | Basic finance; Personal Finance
META LAYOFFS: 11,000 People Officially Fired, Pushed Out the Door
Переглядів 133Рік тому
META LAYOFFS: 11,000 People Officially Fired, Pushed Out the Door
17. Box-Jenkins Method (ARIMA) - PART-3 | Business Forecasting
Переглядів 6042 роки тому
17. Box-Jenkins Method (ARIMA) - PART-3 | Business Forecasting
16. Box-Jenkins Method (ARIMA) - PART-2 | Business Forecasting
Переглядів 9262 роки тому
16. Box-Jenkins Method (ARIMA) - PART-2 | Business Forecasting
15. Box-Jenkins Method (ARIMA) - PART-1 | Business Forecasting
Переглядів 3,4 тис.2 роки тому
15. Box-Jenkins Method (ARIMA) - PART-1 | Business Forecasting
14. Multiple Regression for Time Series| Business Forecasting #forecast #quantitative #data #demand
Переглядів 3122 роки тому
14. Multiple Regression for Time Series| Business Forecasting #forecast #quantitative #data #demand
13. Time Series Decomposition - PART 2| Business Forecasting #forecast #quantitative #data #demand
Переглядів 3062 роки тому
13. Time Series Decomposition - PART 2| Business Forecasting #forecast #quantitative #data #demand
12. Time Series Decomposition - PART 1| Business Forecasting #forecast #quantitative #data #demand
Переглядів 5822 роки тому
12. Time Series Decomposition - PART 1| Business Forecasting #forecast #quantitative #data #demand
11. Multiple Linear Regression Analysis| Business Forecasting #forecast #quantitative #data #demand
Переглядів 2482 роки тому
11. Multiple Linear Regression Analysis| Business Forecasting #forecast #quantitative #data #demand
10. Use these 5 methods in Excel for Linear Regression | Business Forecasting | #data #quantitative
Переглядів 8782 роки тому
10. Use these 5 methods in Excel for Linear Regression | Business Forecasting | #data #quantitative

КОМЕНТАРІ

  • @daXcel7448
    @daXcel7448 14 днів тому

    Thanks

  • @MotswanaTota-012
    @MotswanaTota-012 22 дні тому

    Thank you for the clear explanation. Well appreciated 😊

  • @kanchansarkar7527
    @kanchansarkar7527 24 дні тому

    Hello i need the excel file you are working with

  • @daXcel7448
    @daXcel7448 24 дні тому

    Great Videos. Please keep it coming

  • @kanchansarkar4220
    @kanchansarkar4220 26 днів тому

    Music in background is toomuch disturbing in such a serious subject

  • @clk1977
    @clk1977 Місяць тому

    Excellent lecture!

  • @nikitasingh5271
    @nikitasingh5271 2 місяці тому

    Thankyou so much sir❤❤

  • @sunio2867
    @sunio2867 2 місяці тому

    Thanks you

  • @nicoleencarnacion7928
    @nicoleencarnacion7928 2 місяці тому

    Great, thank you.

  • @daXcel7448
    @daXcel7448 2 місяці тому

    Great content. Keep it coming please. These

  • @daXcel7448
    @daXcel7448 2 місяці тому

    Thanks for the video. These videos are top notch. Please do a series on ' ANNOVA'

  • @clk1977
    @clk1977 2 місяці тому

    I’m learning. Thank you.

  • @SAMPREETROY-g1p
    @SAMPREETROY-g1p 3 місяці тому

    sir these video are goldmine for me. I am a second year MBA student from Great Lakes Chennai and I am greatly benefitted from your videos. Just got to know that you are yourself an XLRI alum. Will share your channel with my batchmates, they will also be benefitted and hopefully you will gain some reach

  • @jyotipoonia2871
    @jyotipoonia2871 4 місяці тому

    Thank u sir plz tell me d book

    • @classicquants778
      @classicquants778 3 місяці тому

      It's from my own notes and understanding. Don't know which book covers this exactly as per the video

    • @KARE19269
      @KARE19269 2 місяці тому

      Chris Brooks book

  • @xxFDansoxxx
    @xxFDansoxxx 5 місяців тому

    How does one formulate this for 4 weeks and track inventory?

    • @classicquants778
      @classicquants778 5 місяців тому

      It will be formulated using a transportation production planning method. If you want a video, please let me know.

  • @jmdimayuga-qm6lh
    @jmdimayuga-qm6lh 5 місяців тому

    why i still get 0?

  • @jmdimayuga-qm6lh
    @jmdimayuga-qm6lh 5 місяців тому

    why i still get 0?

    • @classicquants778
      @classicquants778 5 місяців тому

      Check you model thoroughly. You will catch some mistakes definitely.

  • @vatsalparikh3574
    @vatsalparikh3574 5 місяців тому

    Thank you sir!

  • @vatsalparikh3574
    @vatsalparikh3574 5 місяців тому

    Awesome Video

  • @hunternaegele1817
    @hunternaegele1817 6 місяців тому

    Just saved me tonight! Thanks!

  • @ArockiaPraveen-dz2vb
    @ArockiaPraveen-dz2vb 6 місяців тому

    Can you kindly post a video of the safety stock calculation when the demand pattern doesn’t follow the normal distribution

    • @classicquants778
      @classicquants778 6 місяців тому

      You need to plot the distribution for the lead time demand and see where is the 95% line (suppose the service level is 95%). The left side of the curve to that line will be the safety stock. An easier method is to use normal approximation. For example, if the distribution is Possion with a mean λ, then use an approximate normal distribution of mean=λ and std dev=√λ. Then use this normal distribution to find safety stock.

  • @Barbie-yu9ym
    @Barbie-yu9ym 6 місяців тому

    Thank you! I used this video to create my own chart in my Discrete math course. You explained it in way a that was easy to follow along 💕💕💕

  • @cryptocurrencies7654
    @cryptocurrencies7654 7 місяців тому

    Sir if the company not paying any dividend how to calculate RR ? RR will be 100% ? WAITING FO UR REPLY SIR,

    • @classicquants778
      @classicquants778 7 місяців тому

      Yes, it will be 100% or 1 because every portion of the profit is retained by the company.

    • @cryptocurrencies7654
      @cryptocurrencies7654 6 місяців тому

      Sir one more doubt, In the final stage of intrinsic calculation we have to devide Firm value with no of outstanding shares or no of issued shares ? And also is there any other term for principal repayment (source cash flow statement) Can we take finance cost paid, Short/long term borrowings These two comes under principal repayment

    • @classicquants778
      @classicquants778 6 місяців тому

      I always use Outstanding shares to divide

  • @muhammadfaisalfarooq2063
    @muhammadfaisalfarooq2063 7 місяців тому

    Thanks sir

  • @دانيلو-ن7ه
    @دانيلو-ن7ه 7 місяців тому

    My dear doctor, why did you put in all constraints less than or equal to 3? I did not understand this point

    • @zsambokiattila9765
      @zsambokiattila9765 7 місяців тому

      The MTZ constraint is Ui - uj + N*Xij <= N - 1. N equals 4, therefore the constraint has to be less then or equal to 3

    • @classicquants778
      @classicquants778 7 місяців тому

      Actually I didn't explain how the MTZ constraint works. My focus was not that, I focused only on implementation of the constraint Ui - Uj + N*Xij <= N - 1 where N=4 because we had 4 nodes here. So, the RHS becomes 4-1=3.

    • @zsambokiattila9765
      @zsambokiattila9765 7 місяців тому

      @@classicquants778 yes, i know, that was what i meant to say

    • @ArockiaPraveen-dz2vb
      @ArockiaPraveen-dz2vb 6 місяців тому

      @@classicquants778can you kindly explain what’s is this MTZ constraints, how it works and where should we use this

  • @DATACOOKING1982
    @DATACOOKING1982 8 місяців тому

    Excellent Sir

  • @aviralrastogi1683
    @aviralrastogi1683 9 місяців тому

    ClassicQuants SIr chad🔥

  • @baburaoganpatraoapte5369
    @baburaoganpatraoapte5369 9 місяців тому

    ClassicQuant Bhai Chad

  • @praveshbasanwal7235
    @praveshbasanwal7235 9 місяців тому

    ClassicQuants Bhai OP

    • @praveshbasanwal7235
      @praveshbasanwal7235 8 місяців тому

      Quants bhai, ek hi toh dil hai kitni baar jitoge 🔥🔥

  • @shaileshsankaran3021
    @shaileshsankaran3021 9 місяців тому

    Sir ,pls also explain bass diffusion model of forecasting

  • @COLINWALLACE-iy2dw
    @COLINWALLACE-iy2dw 9 місяців тому

    The Output variance seems very large??

    • @classicquants778
      @classicquants778 9 місяців тому

      Does not matter. It is just an example problem. The data used is fictitious. Only the methodology is important.

    • @COLINWALLACE-iy2dw
      @COLINWALLACE-iy2dw 9 місяців тому

      Thanks

  • @shaileshsankaran3021
    @shaileshsankaran3021 10 місяців тому

    very honestly made very good video Sir

  • @efsan_i
    @efsan_i 10 місяців тому

    it was really clear and understandable explanation thank you so much!

  • @shavetagarg6002
    @shavetagarg6002 11 місяців тому

    Hello, I need some help in Optimization case study, Can you help?

  • @radhika1846
    @radhika1846 11 місяців тому

    Well Explained. Thank you

  • @Sumaya-c9r
    @Sumaya-c9r 11 місяців тому

    thank you, can you please provide the excel sheet for this problem please?

    • @classicquants778
      @classicquants778 11 місяців тому

      I had not saved the file when I made the video. Will try to find it, if found will post.

    • @classicquants778
      @classicquants778 11 місяців тому

      Use the following link to get the file: docs.google.com/spreadsheets/d/1kWTEa-x3vxGNVZ6ocV_I_nqvvRzg9rYJ/edit?usp=sharing&ouid=107418194511757054983&rtpof=true&sd=true

  • @cy.ng1113
    @cy.ng1113 Рік тому

    Hey there, this is a great tutorial. May I ask if I want to to limit the solver to just solve 3 cities instead of 4, how can I do that?

    • @schakraborty336699
      @schakraborty336699 Рік тому

      Just delete one row to readjust the worksheet

    • @cy.ng1113
      @cy.ng1113 Рік тому

      @@schakraborty336699 Cool, do you know how can I choose which cities I want to optimize? For example I want 1,3,4 not 1,2,3?

  • @mahmoudfaouzichaoubi5855
    @mahmoudfaouzichaoubi5855 Рік тому

    Thank you.

  • @shivendushekharrathore6954

    Very Well explained

  • @himanshupughat6205
    @himanshupughat6205 Рік тому

    Please start making videos again

    • @classicquants778
      @classicquants778 Рік тому

      Will do. But nobody watches. It takes too much effort to make these videos. After that the subscription growth and watch time are really demotivating.

  • @Md.SaifulIslamBhuiyan-u7t

    he is a very kind hearted man. currently i m freshers n improving my skills. i m personally helped by this channel. i just want to salute him. may god bless u.

  • @jafacam
    @jafacam Рік тому

    Hello. Thank you for putting up your shortest path solution. I am trying to do something similar-but-more complex, and am having trouble, and I was wondering if you could give me some guidance. What I want to in Excel with shortest paths is: 1) layout a large m-by-n matrix of nodes, with distances in meters between them. I'll use pseudo-chess-board nomenclature with one axis being A-Z and one axis being numbered 1-n (calling nodes "A1", "C3", "F7", etc) 2) have the ability to request multiple shortest paths from (say) B3->F8, G2->A14, F2->R23, etc 3) partially congest a route based on previous paths. For example, if a route is found it may be tagged as 25% congested between two nodes. Another route may add to this. Eventually the route would be congested, and an alternative shortest path would have to be found. 4) ideally I'd like to make it iteratively optimise, but I realise that may be impossible to do in Excel, so the above congestion may have be sequentially built in Do you know of any examples where such a thing has been done? Thank you in advance, Adam

  • @tuli1954
    @tuli1954 Рік тому

    can you have the goal function being evaluated by a macro?

  • @dsc12_devangdubey90
    @dsc12_devangdubey90 Рік тому

    Too good🎉

  • @mayankdahiya12
    @mayankdahiya12 Рік тому

    Thank you so much for making such a complex concept so easy.

  • @tusseyd
    @tusseyd Рік тому

    I would suggest you include comments on the "non-negative" checkbox. I think we typically take that "constraint" for granted, but of course that's not always the case. I might also suggest you explain the "INT", "BIN", and "DIF"" selections for constraint types. Really an excellent discussion. Looking forward to the rest of the video series. Thank you.

  • @tusseyd
    @tusseyd Рік тому

    Using the SUMPRODUCT function to setup the constraints is a great idea. Really saves time.Thanks.

  • @tusseyd
    @tusseyd Рік тому

    This is a beautiful and well thought-out way to arrange your Excel spreadsheet for a classic optimization problem. Very helpful. The way you set up the Constraints for easy entry in Solver is quite clever.

  • @giulianopierucci2903
    @giulianopierucci2903 Рік тому

    Please, could you show how to solve the MILP problem? Thanks a lot

    • @classicquants778
      @classicquants778 Рік тому

      If you post the problem, I will try to make a video

    • @giulianopierucci2903
      @giulianopierucci2903 Рік тому

      I'm referring to the video example, transportation problem

    • @classicquants778
      @classicquants778 Рік тому

      @@giulianopierucci2903 But the video example is a simple application of a transportation problem which does not require MILP formulation. It is just an LP. MILP will be needed if other types of costs (e.g., fixed costs) are involved in the problem.

    • @ie95_Moh
      @ie95_Moh Рік тому

      @@classicquants778 Sir please make a video about this drive.google.com/file/d/1QLdiRT3rzqgYntI6sJy5SOmhFCqUaTWf/view?usp=sharing , it is very good because it will connect between Transportation and Transshipment model. NOTE: Please use Excel, not Lingo. Thank you.

    • @ArockiaPraveen-dz2vb
      @ArockiaPraveen-dz2vb 6 місяців тому

      Can you include the plant operation cost for the same problem and post a video for solving by MILP

  • @Guderian444
    @Guderian444 Рік тому

    Hello. Please help me with this problem. Consider a set of city districts 𝐼. There is a candidate for building a medical emergency service station in every city district. The cost of building an ambulance station is given by the parameter 𝑓𝑖 and the total budget for building stations throughout the city is 50 million. Furthermore, if a station is built in city district 2, it must not be station built in city district 6. Determine in which city districts to build ambulance stations so that the maximum travel time is minimized. What is the optimal maximum travel time? The cost of building stations in the city district 𝑖 ∈ 𝐼, 𝑓𝑖 are: [32,20,25,30,40,29] The city districts and the driving distances between them are interpreted in the following graph: ( [[ 0, 4, 12, 27, 25, 58], [ 4, 0, 24, 16, 29, 38], [12, 24, 0, 31, 14, 30], [27, 16, 31, 0, 21, 8], [25, 29, 14, 21, 0, 11], [58, 38, 30, 8, 11, 0]]) The right answer is to build stations in districts 2 and 4, and optimal travel time is 24. But how can I solve it with excel or with Python, please, help me.