دانلود کتاب

دانلود کتاب Probability, Statistics, and Random Processes for Engineers 4th Edition

فروش کیندل کتاب امازون

دانلود PDF کتاب Probability, Statistics, and Random Processes for Engineers

برای دانلود کتاب Probability, Statistics, and Random Processes for Engineers نسخه چهارم با ما مکاتبه کنید. این کتاب در آرشیو گیگاپیپر موجود است و پس از واریز هزینه PDF کتاب ارسال می شود.

 گیگاپیپر

Probability, Statistics, and Random Processes for Engineers 4th Edition, Kindle Edition
by Henry Stark (Author), John Woods (Author)

Paperback: 704 pages
Publisher: Pearson; 4 edition (August 20, 2011)
Language: English

Price : 40$
ISBN-10: 0132311232
ISBN-13: 978-0132311236

فروش کیندل کتاب امازون

در صورتی که هر کتابی از امازون نیاز دارید، کافیست به بخش Buy a Kindle و یا ادرس https://www.amazon.com/gp/product/B00ZV9PXP2/?ie=UTF8&ref_=topnav_storetab_kstore بروید. در این بخش عنوان کتاب مورد نظر را وارد کنید. در صورتی که دارای نسخه Kindle باشد، با کمتر از 90 درصد قیمت اصلی برایتان تهیه می کنیم.

دانلود ایبوک Probability, Statistics, and Random Processes for Engineers 4th Edition

For courses in Probability and Random Processes.

Probability, Statistics, and Random Processes for Engineers, 4e is a useful text for electrical and computer engineers. This book is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing.

Download PDF Probability, Statistics, and Random Processes for Engineers 4th Edition

The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes.

دانلود کتاب Probability, Statistics, and Random Processes for Engineers 4th Edition

File Size: 23871 KB
Print Length: 704 pages
Simultaneous Device Usage: Up to 2 simultaneous devices, per publisher limits
Publisher: Pearson; 4 edition (September 12, 2011)
Publication Date: September 12, 2011
Language: English
ASIN: B0093K4RZ2

فهرست مطالب کیندل Probability, Statistics, and Random Processes for Engineers 4th Edition

در ادامه فهرست مطالب ایبوک احتمال، آمار و فرآیندهای تصادفی برای مهندسین آورده شده است.

Table of Contents
Preface
1 Introduction to Probability 1
1.1 Introduction: Why Study Probability? 1
1.2 The Different Kinds of Probability 2
Probability as Intuition 2
Probability as the Ratio of Favorable to Total Outcomes (Classical Theory) 3
Probability as a Measure of Frequency of Occurrence 4
Probability Based on an Axiomatic Theory 5
1.3 Misuses, Miscalculations, and Paradoxes in Probability 7
1.4 Sets, Fields, and Events 8
Examples of Sample Spaces 8
1.5 Axiomatic Definition of Probability 15
1.6 Joint, Conditional, and Total Probabilities; Independence 20
Compound Experiments 23
1.7 Bayes’ Theorem and Applications 35
1.8 Combinatorics 38

فروش کیندل کتاب امازون Probability, Statistics, and Random Processes for Engineers 4th Edition

Occupancy Problems 42
Extensions and Applications 46
1.9 Bernoulli Trials-Binomial and Multinomial Probability Laws 48
Multinomial Probability Law 54
1.10 Asymptotic Behavior of the Binomial Law: The Poisson Law 57
1.11 Normal Approximation to the Binomial Law 63
Summary 65
Problems 66
References 77

فروش کیندل کتاب امازون Probability, Statistics, and Random Processes for Engineers

2 Random Variables 79
2.1 Introduction 79
2.2 Definition of a Random Variable 80
2.3 Cumulative Distribution Function 83
Properties of FX(x) 84
Computation of FX(x) 85
2.4 Probability Density Function (pdf) 88
Four Other Common Density Functions 95
More Advanced Density Functions 97
2.5 Continuous, Discrete, and Mixed Random Variables 100
Some Common Discrete Random Variables 102
2.6 Conditional and Joint Distributions and Densities 107
Properties of Joint CDF FXY (x, y) 118
2.7 Failure Rates 137
Summary 141
Problems 141
References 149
Additional Reading 149

فروش کیندل امازون Probability, Statistics, and Random Processes for Engineers 4th Edition

3 Functions of Random Variables 151
3.1 Introduction 151
Functions of a Random Variable (FRV): Several Views 154
3.2 Solving Problems of the Type Y = g(X) 155
General Formula of Determining the pdf of Y = g(X) 166
3.3 Solving Problems of the Type Z = g(X, Y ) 171
3.4 Solving Problems of the Type V = g(X, Y ), W = h(X, Y ) 193
Fundamental Problem 193
Obtaining fVW Directly from fXY 196
3.5 Additional Examples 200
Summary 205
Problems 206
References 214
Additional Reading 214

فروش امازون کیندل Probability, Statistics, and Random Processes for Engineers 4th Edition

4 Expectation and Moments 215
4.1 Expected Value of a Random Variable 215
On the Validity of Equation 4.1-8 218
4.2 Conditional Expectations 232
Conditional Expectation as a Random Variable 239
4.3 Moments of Random Variables 242
Joint Moments 246
Properties of Uncorrelated Random Variables 248
Jointly Gaussian Random Variables 251
4.4 Chebyshev and Schwarz Inequalities 255
Markov Inequality 257
The Schwarz Inequality 258
4.5 Moment-Generating Functions 261
4.6 Chernoff Bound 264
4.7 Characteristic Functions 266
Joint Characteristic Functions 273
The Central Limit Theorem 276
4.8 Additional Examples 281
Summary 283
Problems 284
References 293
Additional Reading 294

دانلود کیندل آمازون Probability, Statistics, and Random Processes for Engineers

5 Random Vectors 295
5.1 Joint Distribution and Densities 295
5.2 Multiple Transformation of Random Variables 299
5.3 Ordered Random Variables 302
Distribution of area random variables 305
5.4 Expectation Vectors and Covariance Matrices 311
5.5 Properties of Covariance Matrices 314
Whitening Transformation 318
5.6 The Multidimensional Gaussian (Normal) Law 319
5.7 Characteristic Functions of Random Vectors 328
Properties of CF of Random Vectors 330
The Characteristic Function of the Gaussian (Normal) Law 331
Summary 332
Problems 333
References 339
Additional Reading 339

خرید کیندل کتاب Probability, Statistics, and Random Processes for Engineers 4th

6 Statistics: Part 1 Parameter Estimation 340
6.1 Introduction 340
Independent, Identically Distributed (i.i.d.) Observations 341
Estimation of Probabilities 343
6.2 Estimators 346
6.3 Estimation of the Mean 348
Properties of the Mean-Estimator Function (MEF) 349
Procedure for Getting a d-confidence Interval on the Mean of a Normal
Random Variable When sX Is Known 352
Confidence Interval for the Mean of a Normal Distribution When sX Is Not
Known 352
Procedure for Getting a d-Confidence Interval Based on n Observations on
the Mean of a Normal Random Variable when sX Is Not Known 355
Interpretation of the Confidence Interval 355
6.4 Estimation of the Variance and Covariance 355
Confidence Interval for the Variance of a Normal Random
variable 357
Estimating the Standard Deviation Directly 359
Estimating the covariance 360
6.5 Simultaneous Estimation of Mean and Variance 361
6.6 Estimation of Non-Gaussian Parameters from Large Samples 363
6.7 Maximum Likelihood Estimators 365
6.8 Ordering, more on Percentiles, Parametric Versus Nonparametric Statistics 369
The Median of a Population Versus Its Mean 371
Parametric versus Nonparametric Statistics 372
Confidence Interval on the Percentile 373
Confidence Interval for the Median When n Is Large 375
6.9 Estimation of Vector Means and Covariance Matrices 376
Estimation of µ 377
Estimation of the covariance K 378
6.10 Linear Estimation of Vector Parameters 380
Summary 384
Problems 384
References 388
Additional Reading 389

خرید کیندل Probability Statistics and Random Processes for Engineers 4th Edition

7 Statistics: Part 2 Hypothesis Testing 390
7.1 Bayesian Decision Theory 391
7.2 Likelihood Ratio Test 396
7.3 Composite Hypotheses 402
Generalized Likelihood Ratio Test (GLRT) 403
How Do We Test for the Equality of Means of Two Populations? 408
Testing for the Equality of Variances for Normal Populations:
The F-test 412
Testing Whether the Variance of a Normal Population Has a
Predetermined Value: 416
7.4 Goodness of Fit 417
7.5 Ordering, Percentiles, and Rank 423
How Ordering is Useful in Estimating Percentiles and the Median 425
Confidence Interval for the Median When n Is Large 428
Distribution-free Hypothesis Testing: Testing If Two Population are the
Same Using Runs 429
Ranking Test for Sameness of Two Populations 432
Summary 433
Problems 433
References 439

خرید kindle آمازون Probability, Statistics, and Random Processes for Engineers

8 Random Sequences 441
8.1 Basic Concepts 442
Infinite-length Bernoulli Trials 447
Continuity of Probability Measure 452
Statistical Specification of a Random Sequence 454
8.2 Basic Principles of Discrete-Time Linear Systems 471
8.3 Random Sequences and Linear Systems 477
8.4 WSS Random Sequences 486
Power Spectral Density 489
Interpretation of the psd 490
Synthesis of Random Sequences and Discrete-Time Simulation 493
Decimation 496
Interpolation 497
8.5 Markov Random Sequences 500
ARMA Models 503
Markov Chains 504
8.6 Vector Random Sequences and State Equations 511
8.7 Convergence of Random Sequences 513
8.8 Laws of Large Numbers 521
Summary 526
Problems 526
References 541

خرید کیندل Probability, Statistics, and Random Processes for Engineers

9 Random Processes 543
9.1 Basic Definitions 544
9.2 Some Important Random Processes 548
Asynchronous Binary Signaling 548
Poisson Counting Process 550
Alternative Derivation of Poisson Process 555
Random Telegraph Signal 557
Digital Modulation Using Phase-Shift Keying 558
Wiener Process or Brownian Motion 560
Markov Random Processes 563
Birth-Death Markov Chains 567
Chapman-Kolmogorov Equations 571
Random Process Generated from Random Sequences 572
9.3 Continuous-Time Linear Systems with Random Inputs 572
White Noise 577
9.4 Some Useful Classifications of Random Processes 578
Stationarity 579
9.5 Wide-Sense Stationary Processes and LSI Systems 581
Wide-Sense Stationary Case 582
Power Spectral Density 584
An Interpretation of the psd 586
More on White Noise 590
Stationary Processes and Differential Equations 596
9.6 Periodic and Cyclostationary Processes 600
9.7 Vector Processes and State Equations 606
State Equations 608
Summary 611
Problems 611
References 633

خرید kindle کتاب Probability, Statistics, and Random Processes for Engineers

Chapters 10 and 11 are available as Web chapters on the companion
Web site at http://www.pearsonhighered.com/stark.
10 Advanced Topics in Random Processes 635
10.1 Mean-Square (m.s.) Calculus 635
Stochastic Continuity and Derivatives [10-1] 635
Further Results on m.s. Convergence [10-1] 645
10.2 Mean-Square Stochastic Integrals 650
10.3 Mean-Square Stochastic Differential Equations 653
10.4 Ergodicity [10-3] 658
10.5 Karhunen-Lo`eve Expansion [10-5] 665
10.6 Representation of Bandlimited and Periodic Processes 671
Bandlimited Processes 671
Bandpass Random Processes 674
WSS Periodic Processes 677
Fourier Series for WSS Processes 680
Summary 682
Appendix: Integral Equations 682
Existence Theorem 683
Problems 686
References 699

خرید Probability, Statistics, and Random Processes for Engineers kindle

11 Applications to Statistical Signal Processing 700
11.1 Estimation of Random Variables and Vectors 700
More on the Conditional Mean 706
Orthogonality and Linear Estimation 708
Some Properties of the Operator ˆE 716
11.2 Innovation Sequences and Kalman Filtering 718
Predicting Gaussian Random Sequences 722
Kalman Predictor and Filter 724
Error-Covariance Equations 729
11.3 Wiener Filters for Random Sequences 733
Unrealizable Case (Smoothing) 734
Causal Wiener Filter 736
11.4 Expectation-Maximization Algorithm 738
Log-likelihood for the Linear Transformation 740
Summary of the E-M algorithm 742
E-M Algorithm for Exponential Probability
Functions 743
Application to Emission Tomography 744
Log-likelihood Function of Complete Data 746
E-step 747
M-step 748
11.5 Hidden Markov Models (HMM) 749
Specification of an HMM 751
Application to Speech Processing 753
Efficient Computation of P[E|M] with a Recursive
Algorithm 754
Viterbi Algorithm and the Most Likely State Sequence
for the Observations 756
11.6 Spectral Estimation 759
The Periodogram 760
Bartlett’s Procedure—Averaging Periodograms 762
Parametric Spectral Estimate 767
Maximum Entropy Spectral Density 769
11.7 Simulated Annealing 772
Gibbs Sampler 773
Noncausal Gauss-Markov Models 774
Compound Markov Models 778
Gibbs Line Sequence 779
Summary 783
Problems 783
References 788

فروش کیندل Probability, Statistics, and Random Processes for Engineers 4th Edition

Appendix A Review of Relevant Mathematics A-1
A.1 Basic Mathematics A-1
Sequences A-1
Convergence A-2
Summations A-3
Z-Transform A-3
A.2 Continuous Mathematics A-4
Definite and Indefinite Integrals A-5
Differentiation of Integrals A-6
Integration by Parts A-7
Completing the Square A-7
Double Integration A-8
Functions A-8
A.3 Residue Method for Inverse Fourier Transformation A-10
Fact A-11
Inverse Fourier Transform for psd of Random Sequence A-13
A.4 Mathematical Induction A-17
References A-17
Appendix B Gamma and Delta Functions B-1
B.1 Gamma Function B-1
B.2 Incomplete Gamma Function B-2
B.3 Dirac Delta Function B-2
References B-5

فروش کیندل Probability, Statistics, and Random Processes for Engineers 4th

Appendix C Functional Transformations and Jacobians C-1
C.1 Introduction C-1
C.2 Jacobians for n = 2 C-2
C.3 Jacobian for General n C-4

خرید کیندل آمازون Probability, Statistics, and Random Processes for Engineers 4th Edition

Appendix D Measure and Probability D-1
D.1 Introduction and Basic Ideas D-1
Measurable Mappings and Functions D-3
D.2 Application of Measure Theory to Probability D-3
Distribution Measure D-4

دانلود کتاب احتمال، آمار و فرآیندهای تصادفی برای مهندسین نسخه چهارم

Appendix E Sampled Analog Waveforms and Discrete-time Signals E-1
Appendix F Independence of Sample Mean and Variance for Normal
Random Variables F-1
Appendix G Tables of Cumulative Distribution Functions: the Normal,
Student t, Chi-square, and F G-1
Index I-1

دانلود رایگان کتاب Probability, Statistics, and Random Processes for Engineers

برای اینکه از کیفیت PDF اورجینال کتاب Probability Statistics and Random Processes for Engineers اطمینان پیدا کنید، دو صفحه از کتاب به صورت رایگان آورده شده است.

دانلود رایگان کتاب Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب حتمال، آمار و فرآیندهای تصادفی
دانلود رایگان کتاب Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب حتمال، آمار و فرآیندهای تصادفی
 Free Download PDF Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب احتمال، آمار و فرآیندهای تصادفی
Free Download PDF Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب احتمال، آمار و فرآیندهای تصادفی
 Free Kindle Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب احتمال، آمار و فرآیندهای تصادفی
Free Kindle Probability, Statistics, and Random Processes for Engineers 4th Edition فروش کیندل کتاب امازون دانلود PDF کتاب احتمال، آمار و فرآیندهای تصادفی
برچسب ها

دانلود کتاب مقاله استاندارد | پسورد سایت های علمی

برای سفارش موارد زیر، با تلگرام و یا ایمیل ما مکاتبه کنید. دانلود مقاله ، خرید ایبوک ، دانلود استاندارد ، دریافت پایان نامه و خرید پسورد دانشگاهی خرید کتابهای آمازون، خرید اکانت iThenticate

مقاله های مشابه

دیدگاهتان را بنویسید

نشانی ایمیل شما منتشر نخواهد شد. بخش‌های موردنیاز علامت‌گذاری شده‌اند *

این سایت از اکیسمت برای کاهش هرزنامه استفاده می کند. بیاموزید که چگونه اطلاعات دیدگاه های شما پردازش می‌شوند.

Rankie WordPress Plugin