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39 Pages

### kut86916_ch01

Course: STAT 4315, Spring 2009
School: Columbia
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Word Count: 14207

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Linear Part Simple Regression I Chapter 1 Linear Regression with One Predictor Variable Regression analysis is a statistical methodology that utilizes the relation between two or more quantitative variables so that a response or outcome variable can be predicted from the other, or others. This methodology is widely used in business, the social and behavioral sciences, the biological sciences, and many other...

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Stanford - EE - 278
EE 278Statistical Signal ProcessingOctober 9, 2009Handout #5Homework #2 Solutions1. The cdf of random variable X is given byFX (x) =132+ 3 (x + 1)21 x 0x &lt; 10a. Find the probabilities of the following events.1A = cfw_X &gt; 3 ,B = cfw_|X |
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #1 Due: Wednesday September 30September 23, 2009 Handout #1You may either hand the assignment in class or drop it in the Homework In box in the EE 278 drawer of the class le cabinet on the second oor of the
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #1 SolutionsOctober 2, 2009 Handout #31. Monty Hall. (Bonus) Gold is placed behind one of three curtains. A contestant chooses one of the curtains. Monty Hall, the game host, opens an unselected empty curtai
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #2 Due: Wednesday October 7 1. Probabilities from cdf. The cdf of random variable X is given by FX (x) =1 3 2 + 3 (x + 1)2September 30, 2009 Handout #21 x 0 x &lt; 10a. Find the probabilities of the followin
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #3 Due: Wednesday October 14October 7, 2009 Handout #41. Family planning. Alice and Bob choose a number X at random with equal probability from the set cfw_2, 3, 4. If the outcome is X = x, they decide to ha
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #3 SolutionsOctober 16, 2009 Handout #71. Family planning. Alice and Bob choose a number X at random with equal probability from the set cfw_2, 3, 4. If the outcome is X = x, they decide to have children unt
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #4 Due: Wednesday October 21October 14, 2009 Handout #61. Two envelopes. A xed amount a is placed in one envelope and an amount 5a is placed in the other. One of the envelopes is opened (each envelope is equ
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #4 SolutionsOctober 23, 2009 Handout #91. Two envelopes. A xed amount a is placed in one envelope and an amount 5a is placed in the other. One of the envelopes is opened (each envelope is equally probable),
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #5 Due: Wednesday October 28October 21, 2009 Handout #81. Additive-noise channel with path gain. Consider the additive noise channel shown in the gure below, where X and Z are zero mean and uncorrelated, and
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #5 SolutionsOctober 30, 2009 Handout #121. Additive-noise channel with path gain. Consider the additive noise channel shown in the gure below, where X and Z are zero mean and uncorrelated, and a and b are co
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #6 Due: Wednesday November 4October 28, 2009 Handout #101. Gaussian random vector Suppose X N (, ) is a Gaussian random vector with 1 110 = 5 and = 1 4 0 . 2 009 a. Find the pdf of X1 . b. Find the pdf of X2
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #6 SolutionsNovember 6, 2009 Handout #141. Gaussian random vector Suppose X N (, ) is a Gaussian random vector with 1 110 = 5 and = 1 4 0 . 2 009 a. Find the pdf of X1 . b. Find the pdf of X2 + X3 . c. Find
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #7 Due: Wednesday, November 18November 11, 2009 Handout #171. Convergence examples. Consider the following sequences of random variables dened on the probability space (, F , P), where = cfw_0, 1, . . . , m
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #7 SolutionsNovember 20, 2009 Handout #191. Convergence examples. Consider the following sequences of random variables dened on the probability space (, F , P), where = cfw_0, 1, . . . , m 1, F is the collec
Stanford - EE - 278
EE 278 Statistical Signal Processing Homework #8 Due: Wednesday, December 2November 18, 2009 Handout #181. Discrete-time Wiener process. Let cfw_Zn : n 0 be a discrete-time white Gaussian noise process; that is, Z1 , Z2 , Z3 , . . . are i.i.d. N (0, 1).
Stanford - EE - 278
Lecture Notes 0 Course Intro duction EE 278 in EE Curriculum Statistical Signal Processing Course Goal Topics Lecture NotesEE 278: Course Introduction01EE 278 in EE Curriculum EE at Stanford: ve laboratories in two general areas: Computer Systems Lab
Stanford - EE - 278
Lecture Notes 1 Review of Basic Probability Theory Probability Space and Axioms Basic Laws Conditional Probability and Bayes Rule Indep endenceEE 278: Basic Probability11Probability Theory Probability theory provides the mathematical rules for assigni
Stanford - EE - 278
Lecture Notes 2 Random Variables Denition Probability Mass Function (PMF) Cumulative Distribution Function (CDF) Probability Density Function (PDF) Functions of a Random Variable Application: Generation of Random VariablesEE 278: Random Variables21Rand
Stanford - EE - 278
Lecture Notes 3 Two Random Variables Joint, Marginal, and Conditional PMFs Joint, Marginal, and Conditional CDFs, PDFs One Discrete and one Continuous Random Variables Signal Detection: MAP Rule Functions of Two Random VariablesEE 278: Two Random Variabl
Stanford - EE - 278
Lecture Notes 4 Expectation Denition and Properties Mean and Variance Markov and Chebyshev Inequalities Covariance and Correlation Conditional ExpectationEE 278: Expectation41Expectation Let X X be a discrete r.v. with pmf pX (x) and let g (x) be a fu
Stanford - EE - 278
Lecture Notes 5 Mean Square Error Estimation Minimum MSE Estimation Linear Estimation Jointly Gaussian Random VariablesEE 278: Mean Square Error Estimation51Minimum MSE Estimation Consider the following signal processing problem: X fX (x) Noisy Channe
Stanford - EE - 278
Lecture Notes 6 Random Vectors Joint, Marginal, and Conditional CDF, PDF, PMF Indep endence and Conditional Indep endence Mean and Covariance Matrix Mean and Variance of Sum of RVs Gaussian Random Vectors MSE Estimation: the Vector CaseEE 278: Random Vec
Stanford - EE - 278
Lecture Notes 7 Convergence and Limit Theorems Motivation Convergence with Probability 1 Convergence in Mean Square Convergence in Probability, WLLN Convergence in Distribution, CLTEE 278: Convergence and Limit Theorems71Motivation One of the key ques
Stanford - EE - 278
Lecture Notes 8 Random Pro cesses Denition and Simple Examples Discrete Time Random Processes IID Random Walk Process Markov Processes I n d e p e n d e n t I n c r e m e n t Pr o c e s s e s Gauss-Markov Process Mean and Autocorrelation Function Gaussian
Stanford - EE - 278
Lecture Notes 9 Stationary Random Pro cesses Strict-Sense and Wide-Sense Stationarity Autocorrelation Function of a Stationary Process Power Sp ectral Density Resp onse of LTI System to WSS Process Input Linear Estimation: the Random Process CaseEE 278:
Stanford - EE - 278
EE 278 Statistical Signal Processing Sample Midterm Examination ProblemsOctober 28, 2009 Handout #11The following are old midterm problems. The midterm will cover lecture notes 15, pages 16 of lecture notes 6, and homeworks 15, including the Schwarz and
Stanford - EE - 278
EE 278 Statistical Signal Processing Sample Midterm Examination ProblemsNovember 4, 2009 Handout #131. Inequalities. Label each of the following statements with =, , , or None. Label a statement with = if equality always holds. Label a statement with or
Stanford - EE - 278
EE 278 Statistical Signal ProcessingWednesday, November 11, 2009 Handout #16Midterm Examination Solutions 1. Inequalities. a. eS is a convex function so by Jensens inequality E(eS ) eE(s) = e Since E(S ) = 1. b. S is a concave function so by Jensens ine
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set One Due Wednesday, September 301. Some practice with geometric sums and complex exponentials (5 points each) Well make much use of formulas for the sum of a geometric series, especia
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set One1. Some practice with geometric sums and complex exponentials (5 points each) Well make much use of formulas for the sum of a geometric series, especially in combinat
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Two Due Wednesday, October 7, 20091. (10 points) A famous sum You cannot go through life knowing about Fourier series and not know the application to evaluating a very famous sum. Le
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Two1. (10 points) A famous sum You cannot go through life knowing about Fourier series and not know the application to evaluating a very famous sum. Let S (t) be the saw
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Three Due Wednesday, October 14, 20091. (25 points) Piecewise linear approximations and Fourier transforms. (a) The stretched triangle function is dened by a (t) = (t/a) = Find F a (
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Three1. (25 points) Piecewise linear approximations and Fourier transforms. (a) The stretched triangle function is dened by a (t) = (t/a) = Find F a (s). (b) Find the Fo
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Four Due Wednesday, October 211. (10 points) Eva and Rajiv continue their conversation about convolution: Rajiv: You know, convolution really is a remarkable operation, the way it im
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Four1. (10 points) Eva and Rajiv continue their conversation about convolution: Rajiv: You know, convolution really is a remarkable operation, the way it imparts propert
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Five Due Wednesday, October 281. (10 points) Expected values of random variables, orthogonality, and approximation Let X be a random variable with probability distribution function p
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Five Due Wednesday, October 281. (10 points) Expected values of random variables, orthogonality, and approximation Let X be a random variable with probability distribution function p
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Six Due Wednesday, November 41. (10 points) Downconversion A common problem in radio engineering is downconversion to baseband. Consider a signal f (t) whose spectrum F f (s) satises
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Solutions to Problem Set Six1. (10 points) Downconversion A common problem in radio engineering is downconversion to baseband. Consider a signal f (t) whose spectrum F f (s) satises F f (s ) = 0
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Seven Due Wednesday, November 111. (20 points) Handels Hallelujah In this problem we will explore the eects of sampling with or without anti-aliasing lters. As we saw in lecture ther
Stanford - EE - 261
EE 261 The Fourier Transform and its Applications Fall 2009 Problem Set Eight Due Wednesday, November 181. (10 points) Dierent denitions for the DFT This is an alternate version, in one respect, to Section 6.9 in the notes, on dierent denitions of the DF
Arizona - EE - 591
EEE 523 Advanced Analog Integrated Circuits LaboratoryLab 1 Design and Analysis of Folded Cascode AmplifierSubmitted by Saurabh Naik ASU ID: 1201916850 Date: 11/16/2009Abstract: The folded cascode amplifier is a special variation of an amplifier where
Arizona - EE - 591
EEE 591 Analog Integrated Circuits LaboratoryLab 5 Design of Automatic Gain Control CircuitSubmitted by Saurabh Naik ASU ID: 1201916850 Date: 11/17/2009Abstract: In the early years of radio circuits, fading (defined as slow variations in the amplitude
Arizona - EE - 591
EEE 591 Analog Integrated Circuits LaboratoryLab 6 Design and Analysis of Common Drain AmplifierSubmitted by Saurabh Naik ASU ID: 1201916850 Date: 11/24/2009Abstract: In electronics, a common-drain amplifier, also known as a source follower, is one of
Northeastern - BUS - 281
Name_ Bus 220 Quiz Chapters Garrison 12 and 13 1. Hayworth Company has just segmented last year's income statements into its ten product lines. The chief executive officer (CEO) is curious as to what effect dropping one of the product lines at the beginni
Northeastern - BUS - 281
BUSI 562Sample Test Chapter 5,6,71. When the activity level is expected to decline within the relevant range, what effects would be anticipated with respect to each of the following? F ix e d c o s t p e r u n it In c re a se In c re a se N o change N o
Northeastern - BUS - 281
Calhoun Community College - BUSINESS - acct 3211
CHAPTER 14LONG-TERM LIABILITIESMULTIPLE CHOICEConceptualAnswera a b d d b a d d c d d d d c b d d d d c d d d c c. c d b b cNo.1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. *27. *28. *29. *30. *31.De
Calhoun Community College - BUSINESS - acct 3211
CHAPTER 12INTANGIBLE ASSETSMULTIPLE CHOICEConceptualAnswerc b d d d c d b c a a d a b a d d c b aNo.1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20.DescriptionAccounting for internally-created intangibles. Amortization method
Calhoun Community College - BUSINESS - acct 3211
CHAPTER 13CURRENT LIABILITIES AND CONTINGENCIESMULTIPLE CHOICEConceptualAnswerd d a a b d d d c d c d d c d d d d a d c d b a c d b c c c a d d dNo.1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28
Calhoun Community College - BUSINESS - acct 3211
Take Assessment Assignment1Name: Instructions: Assignment1Thereare19questionsinthisassignmentincludingmultiple choices,multipleanswers,fillintheblank,matching,andselection fromadropdownlist.Youhaveonlyonechancetodothe assignmentandyouneedtofinishitwithi
Calhoun Community College - BUSINESS - acct 3211
No. 1. 2.aACCT3212 (Spring 2007)cash common stock cash note payable b interest expense cash c interest expense interest payable equipment cash b depreciation expense accumulated depreciation expense 4.a prepaid rent cash b rent expense prepaid rent 5.a
Calhoun Community College - BUSINESS - acct 3211
Problem 1 Multiple ChoiceFirst MidtermWinter 20051. Stockholders equity represents: a. The amount invested in the corporation by the stockholders. b. The amount earned by the company since incorporation. c. The amount owed the stockholders in a liquida
Calhoun Community College - BUSINESS - acct 3211
Problem 1 Multiple Choice First Midterm Spring 2006 11. On November 30, 2004, Bend Corp. Issued \$300,000 maturity value, 6% bonds for \$300,000 cash. The bonds were dated October 31, 2004. Interest will be paid semiannually. How much cash did they receive?
Calhoun Community College - BUSINESS - acct 3211
To: Dr. Jan From: Lina Xia, LiPing Zhou. Date: May 22, 2007 Subject: Analysis Martek Biosciences Corp.s assets depreciation The kind of assets that is subject of the controversy described in the Wall Street Journal article is idle asset in part of propert
Calhoun Community College - BUSINESS - acct 3211
ACCT3212 (Spring 2007)No. 1. 2.a b c 3.a b 4.a b 5.a b 6.a b 7.ab c 8.acash common stock cash note payable interest expense cash interest expense interest payable equipment cash depreciation expense accumulated depreciation expense prepaid rent cash re
Calhoun Community College - BUSINESS - acct 3211
As we are a consulting firm, we will help (company name) improve the characteristics of their website. There are the explanations of what content is on the website and also how the design of the website makes high quality.Content 1. Products 1) having th
Calhoun Community College - BUSINESS - acct 3211
To: Dr. Jan From: Lina Xia, LiPing Zhou. Date: May 22, 2007 Subject: Analysis Martek Biosciences Corp.s depreciation According to David Reilly, the kind of assets that is subject of the controversy described in this article is idle asset in part of proper
Calhoun Community College - BUSINESS - acct 3211
Chapter 5(B) Homework Solution and etc.P 5-4: Percentage-of-Completion method Contract price (i.e. total revenue for this project) is \$10,000,000 1. Calculate the amount of gross profit to be recognized in each year: 2006: Total actual costs incurred to